350 Data Engineering Manager jobs in Hyderabad

? **ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field
+ OR
+ Master's degree with 6 - 8 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field
+ OR
+ Master's degree with 6 - 8 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Join Amgen's Mission of Serving Patients
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Engineering Manager**
**What you will do**
Let's do this. Let's change the world. In this vital role you will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making.
+ Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division.
+ Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems.
+ Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance.
+ Drive the development of data tools and frameworks for running and accessing data efficiently across the organization.
+ Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms.
+ Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness.
+ Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features.
+ Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices.
+ Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases.
+ Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives.
+ Prepare team members for key partner discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
+ Drive Agile and Scaled Agile (SAFe) methodologies, handling sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.
+ Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization uses the latest innovations in data engineering and architecture.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain.
**Basic Qualifications:**
+ Doctorate degree **OR**
+ Master's degree and 4 to 6 years of experience in Computer Science, IT or related field **OR**
+ Bachelor's degree and 6 to 8 years of experience in Computer Science, IT or related field **OR**
+ Diploma and 10 to 12 years of experience in Computer Science, IT or related field
+ Experience leading a team of data engineers in the R&D domain of biotech/pharma companies.
+ Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems.
+ Data Engineering experience in R&D for Biotechnology or pharma industry
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Proficiency in Python, PySpark, SQL.
+ Experience with dimensional data modeling.
+ Experience working with Apache Spark, Apache Airflow.
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
+ Experienced with AWS or GCP or Azure cloud services.
+ Understanding of end to end project/product life cycle
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Preferred Qualifications:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
+ Data Engineering Management experience in Biotech/Pharma is a plus
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to handle multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

**About the Role:**
**Grade Level (for internal use):**
13
**About the Role** : Director, Data Engineering Manager
S&P Global Ratings is seeking for an experienced leader to head our data engineering teams within the Data Services group, a collaborative team of data and technology professionals dedicated to shaping and executing the strategic data roadmap for S&P Global Ratings.
This position is based out of Hyderabad, India. The successful candidate will play a key role in designing and building our data engineering platforms, contributing to the design and deployment of advanced engineering and machine learning solutions. We look forward to welcoming a leader who can drive innovation and excellence within our teams.
**The Team** : Join the Rating Organization's Data Services Product Engineering Team, known for its expertise in critical data domains and technology stacks. This team values knowledge sharing, collaboration, and a unified strategy to build S&P Ratings' next-gen analytics platform. Members provide leadership, innovation, and articulate business value, contributing to a unique opportunity to evolve the platform.
**What We're Looking For:**
**Basic Required Qualifications:**
+ A bachelor's degree in Computer Science, Information Systems, or Engineering is required.
+ Proficient in software development lifecycle (SDLC) methodologies, including Agile and Test-driven development.
+ Over 15 years of experience, with at least 8 years in designing enterprise products, modern data stacks, and analytics platforms.
+ A minimum of 8 years of hands-on experience contributing to application architecture and design, demonstrating knowledge of software and enterprise integration design patterns, along with full-stack knowledge of modern distributed front-end and back-end technology stacks.
+ At least 8 years of full-stack development experience in modern web technologies, including proficiency in programming languages and frameworks, as well as experience with various database systems.
+ A thorough understanding of distributed computing concepts.
+ Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem, particularly leveraging cloud technologies.
+ A passionate, intelligent, and articulate developer.
+ Familiarity with various front-end frameworks and libraries.
+ A quality-first mindset, with a strong background in developing products for a global audience at scale.
+ Excellent analytical thinking, interpersonal skills, and strong oral and written communication abilities, with a proven ability to influence both IT and business partners.
+ Superior knowledge of system architecture, object-oriented design, and design patterns.
+ A strong work ethic, self-motivated, and results-oriented.
+ Excellent communication skills, with strong verbal and writing proficiency.
**Additional Preferred Qualifications:**
+ Experience working with cloud platforms.
+ Familiarity with Agile frameworks, including SAFe.
+ A bachelor's or postgraduate degree in Computer Science, Information Systems, or a related field.
+ Hands-on experience contributing to application architecture and design, with proven software and enterprise integration design principles.
+ Ability to prioritize and manage tasks to meet critical project timelines in a fast-paced environment.
+ Excellent analytical and communication skills, with strong verbal and writing proficiency.
+ Ability to train and mentor others.
**About S&P Global Ratings**
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person?
**US Candidates Only:** The EEO is the Law Poster ? describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 310030
**Posted On:** 2025-06-26
**Location:** Hyderabad, Telangana, India

ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
ABOUT THE ROLE
Role Description:
We are seeking a Senior Data Engineering Manager with a strong background in Regulatory or Integrated Product Teams within the Biotech or Pharmaceutical domain. This role will lead the end-to-end data strategy and execution for regulatory product submissions, lifecycle management, and compliance reporting, ensuring timely and accurate delivery of regulatory data assets across global markets. You will be embedded in a cross-functional Regulatory Integrated Product Team (IPT) and serve as the data and technology lead, driving integration between scientific, regulatory, and engineering functions to support submission-ready data and regulatory intelligence solutions.
Roles & Responsibilities:
Functional Skills:
+ Lead the engineering strategy and implementation for end-to-end regulatory operations, including data ingestion, transformation, integration, and delivery across regulatory systems.
+ Serve as the data engineering SME in the Integrated Product Team (IPT) to support regulatory submissions, agency interactions, and lifecycle updates.
+ Collaborate with global regulatory affairs, clinical, CMC, quality, safety, and IT teams to gather submission data requirements and translate them into data engineering solutions.
+ Manage and oversee the development of data pipelines, data models, and metadata frameworks that support submission data standards (e.g., eCTD, IDMP, SPL, xEVMPD).
+ Enable integration and reporting across regulatory information management systems (RIMS), EDMS, clinical trial systems, and lab data platforms.
+ Implement data governance, lineage, validation, and audit trails for regulatory data workflows, ensuring GxP and regulatory compliance.
+ Guide the development of automation solutions, dashboards, and analytics that improve visibility into submission timelines, data quality, and regulatory KPIs.
+ Ensure interoperability between regulatory data platforms and enterprise data lakes or lakehouses for cross-functional reporting and insights.
+ Collaborate with IT, data governance, and enterprise architecture teams to ensure alignment with overall data strategy and compliance frameworks.
+ Drive innovation by evaluating emerging technologies in data engineering, graph data, knowledge management, and AI for regulatory intelligence.
+ Lead, mentor, and coach a small team of data engineers and analysts, fostering a culture of excellence, innovation, and delivery.
+ Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.
+ Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization leverages the latest innovations in data engineering and architecture.
**Must-Have Skills:**
+ 8-12 years of experience in data engineering or data architecture, with 3+ years in a senior or managerial capacity, preferably within the biotech or pharmaceutical industry.
+ Proven experience supporting regulatory functions, including submissions, tracking, and reporting for FDA, EMA, and other global authorities.
+ Experience with ETL/ELT tools, data pipelines, and cloud-based data platforms (e.g., Databricks, AWS, Azure, or GCP).
+ Familiarity with regulatory standards and data models such as eCTD, IDMP, HL7, CDISC, and xEVMPD.
+ Deep understanding of GxP data compliance, audit requirements, and regulatory submission processes.
+ Experience with tools like Power BI, Tableau, or Qlik for regulatory dashboarding and visualization is a plus.
+ Strong project management, stakeholder communication, and leadership skills, especially in matrixed, cross-functional environments.
+ Ability to translate technical capabilities into regulatory and business outcomes.Prepare team members for stakeholder discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
**Good-to-Have Skills:**
+ Prior experience working on integrated product teams or regulatory transformation programs.
+ Knowledge of Regulatory Information Management Systems (RIMS), Veeva Vault RIM, or Master Data Management (MDM) in regulated environments.
+ Familiarity with Agile/SAFe methodologies and DevOps/DataOps best practices.
Education and Professional Certifications
+ 12 to 15 years of experience in Computer Science, IT or related field
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
Soft Skills:
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Do you pioneer? Do you enjoy solving complex problems in building and analyzing large datasets? Do you enjoy focusing first on your customer and working backwards?
Amazon transportation controllership team is looking for an experienced Data Engineering Manager with experience in architecting large/complex data systems with a strong record of achieving results, scoping and delivering large projects end-to-end. You will be the key driver in building out our vision for scalable data systems to support the ever-growing Amazon global transportation network businesses.


Key job responsibilities
As a Data Engineering Manager in Transportation Controllership, you will be at the forefront of managing large projects, providing vision to the team, designing and planning large financial data systems that will allow our businesses to scale world-wide. You should have deep expertise in the database design, management, and business use of extremely large datasets, including using AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies. Above all you should be passionate about data warehousing large datasets together to answer business questions and drive change.

You should have excellent business acumen and communication skills to be able to work with multiple business teams, and be comfortable communicating with senior
leadership.

Due to the breadth of the areas of business, you will coordinate across many internal and external teams, and provide visibility to the senior leaders of the company with your strong written and oral communication skills. We need individuals with demonstrated ability to learn quickly, think big, execute both strategically and tactically, motivate and mentor their team to deliver business values to our customers on time.



A day in the life
On a daily basis you will:
• manage and help GROW a team of high performing engineers
• understand new business requirements and architect data engineering solutions for the same
• plan your team's priorities, working with relevant internal/external stakeholders, including sprint planning
• resolve impediments faced by the team
• update leadership as needed
• use judgement in making the right tactical and strategic decisions for the team and organization
• monitor health of the databases and ingestion pipelines

BASIC QUALIFICATIONS

- 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Value Added Services Tech (VASTech) improves customer experience and reduces cost-to-serve by transforming selection discovery and addressing un-optimizations during fulfillment.

We seek talented Engineers with expertise in large-scale systems to join our mission. Ideal candidates are passionate problem-solvers who can drive innovative solutions from design to deployment across teams. You will play a key role in developing global fulfillment models, requiring creativity and excellence. We need adaptable professionals who thrive in dynamic environments, focusing on enhancing customer experience. Join us to shape the future of e-commerce logistics and make a significant impact in this transformative field.

BASIC QUALIFICATIONS

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- Bachelor's degree

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world?
The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered?
This is an exciting time to join our group Customer Experience (CXP) and work on something highly strategic to Microsoft. The goal of CXP Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization's implementation acts as reference architecture for large companies and helps drive product capabilities.
If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us?
We are hiring a passionate Principal SW Engineering Manager to lead a team of highly motivated and talented software developers building highly scalable data platforms and deliver services and experiences for empowering Microsoft's customer, seller and partner ecosystem to be successful. This is a unique opportunity to use your leadership skills and experience in building core technologies that will directly affect the future of Microsoft on the cloud. In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build?high-quality and innovative?data platforms with full stack?data solutions?using latest?technologies?in a dynamic and agile environment and have?opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition.
We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development.
**Responsibilities**
+ As a leader of the engineering team, you will be responsible for the following:
+ Build and lead a world class data engineering team.
+ Passionate about technology and obsessed about customer needs.
+ Champion data-driven decisions for features identification, prioritization and delivery.
+ Managing?multiple projects, including?timelines, customer interaction,?feature tradeoffs, etc.
+ Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines.
+ Design and architect internet scale and reliable services.
+ Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives.
+ Communicate effectively and build relationship with our partner teams and stakeholders.
+ Help shape our long-term architecture and technology choices across the full client and services stack.
+ Understand the talent needs of the team and help recruit new talent.
+ Mentoring and growing other engineers to bring in efficiency and better productivity.
+ Experiment with and recommend new technologies that simplify or improve the tech stack.
+ Work to help build an inclusive working environment.
**Qualifications**
**Basic Qualifications:** **?**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
+ 12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions.
+ 3+ years of management experience leading a high-performance engineering team.
+ Proficient in designing and developing distributed systems on cloud platform.
+ Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment.
+ Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases.
+ Experience using ML, anomaly detection, predictive analysis, exploratory data analysis.
+ A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.
+ Strong communication skills and proficiency with executive communications
+ Demonstrated ability to effectively lead and operate in cross-functional global organization
**Preferred Qualifications:**
+ Prior experience as an engineering site leader is a strong plus.
+ Proven success in recruiting and scaling engineering organizations effectively.
+ Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects.
+ Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies.
+ Expertise in one or more of the following areas: AI and Machine Learning.
+ Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial.
#BICJobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Overview

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.

The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.

This is an exciting time to join our group Customer Experience (CXP) and work on something highly strategic to Microsoft. The goal of CXP Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities.

If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us!

We are hiring a passionate Principal SW Engineering Manager to lead a team of highly motivated and talented software developers building highly scalable data platforms and deliver services and experiences for empowering Microsoft’s customer, seller and partner ecosystem to be successful. This is a unique opportunity to use your leadership skills and experience in building core technologies that will directly affect the future of Microsoft on the cloud. In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build high-quality and innovative data platforms with full stack data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition.

We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development.

Qualifications

Basic Qualifications:  

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 

12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions. 

3+ years of management experience leading a high-performance engineering team. 

Proficient in designing and developing distributed systems on cloud platform. 

Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment. 

Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases. 

Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. 

A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. 

Strong communication skills and proficiency with executive communications 

Demonstrated ability to effectively lead and operate in cross-functional global organization 

Preferred Qualifications:  

Prior experience as an engineering site leader is a strong plus. 

Proven success in recruiting and scaling engineering organizations effectively. 

Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects. 

Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies. 

Expertise in one or more of the following areas: AI and Machine Learning. 

Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial. 

#BICJobs

Responsibilities

As a leader of the engineering team, you will be responsible for the following: 

Build and lead a world class data engineering team. 

Passionate about technology and obsessed about customer needs. 

Champion data-driven decisions for features identification, prioritization and delivery. 

Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc. 

Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines. 

Design and architect internet scale and reliable services. 

Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives. 

Communicate effectively and build relationship with our partner teams and stakeholders. 

Help shape our long-term architecture and technology choices across the full client and services stack. 

Understand the talent needs of the team and help recruit new talent. 

Mentoring and growing other engineers to bring in efficiency and better productivity. 

Experiment with and recommend new technologies that simplify or improve the tech stack. 

Work to help build an inclusive working environment.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect