146 Information Architecture jobs in India
Sr Manager, Information Security Architecture & Engineering
Posted today
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Job Description
Job Summary
The Information Security Architecture and Engineering Senior Manager is responsible for defining and driving the overall design, implementation and operation of security technologies at Avient. This position requires experience leading local and offshore resources, ensuring compliance with relevant regulations, and driving effective solutions which minimize risk.
Essential Functions
Education and Experience Qualifications
Additional Qualifications
We believe that all of our global employees are leaders and that the six most important behaviors for driving our strategy and culture are the same no matter if an employee is a leader of self, a leader of others, or a leader of the business.
By playing to win, acting customer centric, driving innovation and profitable growth, collaborating seamlessly across Avient, and motivating and inspiring and developing others and yourself you will accelerate your ability to achieve Avient’s strategic goals, to meet our customer needs, and to accomplish your career goals.
At Avient, we believe a wide variety of thoughts, ideas and backgrounds gives us the creativity to be successful in a rapidly changing world. In support of this, we stress equality of opportunity for all qualified individuals in accordance with applicable laws. Decisions on hiring, promotion, development, compensation or advancement are based solely on a person’s qualifications, abilities, experience and performance.
#LIGM1
Data Architecture
Posted today
Job Viewed
Job Description
Date Opened
- 06/19/2025
Job Type
- Full time
Industry
- IT Services
Remote Job
This is a remote position.
**Additional Information**:
Nice to have skills - System integration, data modeling, database design, ETL processes, and API management, with strong expertise in third-party integrations, ML pipeline
Director, Data Architecture
Posted 1 day ago
Job Viewed
Job Description
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role **:**
The Director of Data Architecture will be responsible for designing and implementing enterprise data architecture solutions on various cloud technologies . This role requires extensive experience in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and artificial intelligence (AI). The ideal candidate will have a deep understanding of data architecture principles and best practices and will be able to lead the development of a cohesive data strategy that aligns with business objectives .
In this role, you will ensure the scalability and performance of our data architecture to support growing data volumes and complexity. You will also focus on optimizing resources and ensuring that data architecture solutions are cost-effective and efficient. Your ability to fit within the organization and collaborate with various teams will be crucial in delivering successful data architecture projects. Additionally, you will leverage AI capabilities to enhance data processing, analysis, and decision-making.
Roles & Responsibilities
+ Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
+ Lead the design and implementation of enterprise data architecture solutions
+ Develop and maintain a comprehensive data architecture strategy that supports business goals and objectives .
+ Implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.
+ Develop and enforce data governance frameworks to ensure data quality, security, and compliance.
+ Design and implement canonical data models to standardize data across the organization.
+ Ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.
+ Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
+ Provide technical leadership and guidance on data architecture best practices and emerging technologies.
+ Oversee the integration of data from various sources into a unified data architecture.
+ Ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.
+ Optimize resources to ensure cost-effective and efficient data architecture solutions.
+ Design and implement different data architectures, including data warehouses, data lakes, and real-time data processing systems.
+ Ensure that data architecture solutions fit within the organizational structure and align with business processes.
+ Leverage AI capabilities to enhance data processing, analysis, and decision-making.
+ Stay up-to-date with the latest trends and technologies in data architecture and AI, and apply them to improve our data infrastructure.
Qualifications & Experiences:
+ Advanced degree in Computer Science, Data Science, Engineering, or a related field
+ 1 2 + years' experience with data platforms, cloud services (e.g., AWS, Azure, Google Cloud), and big data technologies
+ Extensive experience with AWS services , Snowflake and its ecosystem
+ Strong expertise in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and AI.
+ Experience in Media and Entertainment industry is preferred.
+ Excellent leadership and team management skills.
+ Strong problem-solving and analytical skills.
+ Proven leadership skills with experience managing high-performing teams across multiple locations and disciplines
+ Excellent communication, negotiation, and interpersonal skills, capable of building strong relationships across all levels of an organization
+ Recognized thought leader in the field of enterprise data architecture , with contributions to industry discussions, publications, or conferences
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
Specialist, Data Architecture
Posted 1 day ago
Job Viewed
Job Description
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Data Architecture
**What does a great AI/ML Engineer do?**
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.
**What You will do**
+ Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.
+ Conduct research and stay updated with the latest advancements in generative AI and deep learning.
+ Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.
+ Design and optimize prompts used in AI models to improve output quality and relevance.
+ Analyze model performance and user data to refine prompt strategies.
+ Analyze and preprocess large datasets to train and validate models effectively.
+ Create and maintain documentation for algorithms, methodologies, and processes.
+ Provide training and support to internal teams on generative AI technologies.
**What you will need to have** **:**
+ Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
+ 6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.
+ Proficiency in programming languages such as Python or R.
+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
+ Strong understanding of machine learning algorithms and statistical analysis.
+ Excellent problem-solving skills and ability to work in a fast-paced environment.
+ Strong communication skills to articulate complex ideas to non-technical stakeholders.
**What would be great to have**
+ Experience in the financial services industry is a plus.
+ Familiarity with natural language processing (NLP) or computer vision (CV) applications.
+ Contributions to open source projects or published research in generative AI.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Specialist, Data Architecture
Posted 1 day ago
Job Viewed
Job Description
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Specialist, Data Architecture
**Job Posting Title:** Tech Lead, Data Architecture
**What does a successful Specialist** **,** **Data Architecture do?**
We are seeking seasoned Data Architect with extensive experience in architecting ETL solutions with Informatica Data Management Cloud (IDMC)/Informatica Intelligent Cloud Services (IICS). Hands-on experience in designing, implementing, and optimizing enterprise-wide IDMC applications to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.
**What you will do:**
+ Collaborate within a team environment in development, testing, and support of software development project lifecycles
+ Understand incoming data elements, map them with existing data structures and design data interfaces with underlying business logic
+ Prepare and review any necessary technical documentation prepared by team
+ Track and report daily and weekly activities
+ Perform code reviews and code remediation. Design unit test scenarios and integration tests
+ Participate in on-call support for product releases
+ Research problems discovered by QA or product management and develop solutions to the problems
+ Perform additional duties as determined by business needs and as directed by management
**What you will need to have:**
+ Must have 8 to 10 years of experience in ETL development using Informatica Data Management Cloud (IDMC)/Informatica Intelligent Cloud Services (IICS) with Snowflake as Cloud Data Warehouse, unit testing, code review, coding standards, Scrum (Agile), JIRA
+ Ability to track progress against assigned tasks, report status, and proactively identify issues
+ Demonstrate the ability to present information effectively in communications with peers and project management teams
+ Highly organized and works well in a fast paced, fluid and dynamic environment
+ Familiarity with data governance and data security best practices
+ Demonstrate ability to lead and mentor technical teams
**What would be great to have:**
+ Experience in working in a Scrum Development Team
+ Banking and Financial Services experience, preferably, Cards and Payments domain
+ Knowledge of performance tuning and optimization techniques in IDMC/IICS
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Director, Data Architecture
Posted today
Job Viewed
Job Description
Who We Are…
When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the bringing our characters to life, the bringing them to your living rooms and the creating what’s next…
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Your New Role:
The Director of Data Architecture will be responsible for designing and implementing enterprise data architecture solutions on various cloud technologies. This role requires extensive experience in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and artificial intelligence (AI). The ideal candidate will have a deep understanding of data architecture principles and best practices and will be able to lead the development of a cohesive data strategy that aligns with business objectives.
In this role, you will ensure the scalability and performance of our data architecture to support growing data volumes and complexity. You will also focus on optimizing resources and ensuring that data architecture solutions are cost-effective and efficient. Your ability to fit within the organization and collaborate with various teams will be crucial in delivering successful data architecture projects. Additionally, you will leverage AI capabilities to enhance data processing, analysis, and decision-making.
Roles & Responsibilities
Own the end-to-end architecture of the data platform, ensuring its efficiency, cost-effectiveness, security, and governance.
Lead the design and implementation of enterprise data architecture solutions
Develop and maintain a comprehensive data architecture strategy that supports business goals and objectives.
Implement and manage Master Data Management (MDM) solutions to ensure data consistency and accuracy.
Develop and enforce data governance frameworks to ensure data quality, security, and compliance.
Design and implement canonical data models to standardize data across the organization.
Ensure data quality by implementing best practices and tools for data validation, cleansing, and enrichment.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Provide technical leadership and guidance on data architecture best practices and emerging technologies.
Oversee the integration of data from various sources into a unified data architecture.
Ensure the scalability and performance of data architecture solutions to support growing data volumes and complexity.
Optimize resources to ensure cost-effective and efficient data architecture solutions.
Design and implement different data architectures, including data warehouses, data lakes, and real-time data processing systems.
Ensure that data architecture solutions fit within the organizational structure and align with business processes.
Leverage AI capabilities to enhance data processing, analysis, and decision-making.
Stay up-to-date with the latest trends and technologies in data architecture and AI, and apply them to improve our data infrastructure.
Qualifications & Experiences:
Advanced degree in Computer Science, Data Science, Engineering, or a related field
12+ years’ experience with data platforms, cloud services (e.g., AWS, Azure, Google Cloud), and big data technologies
Extensive experience with AWS services,Snowflake and its ecosystem
Strong expertise in enterprise data architecture, Master Data Management (MDM), data governance, canonical data modeling, data quality, and AI.
Experience in Media and Entertainment industry is preferred.
Excellent leadership and team management skills.
Strong problem-solving and analytical skills.
Proven leadership skills with experience managing high-performing teams across multiple locations and disciplines
Excellent communication, negotiation, and interpersonal skills, capable of building strong relationships across all levels of an organization
Recognized thought leader in the field of enterprise data architecture, with contributions to industry discussions, publications, or conferences
How We Get Things Done…
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.Specialist, Data Architecture
Posted today
Job Viewed
Job Description
You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.
Responsibilities
Requisition ID R-10358162 Date posted 06/11/2025 End Date 06/30/2025 City Pune State/Region Maharashtra Country India Location Type OnsiteCalling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Specialist, Data ArchitectureOur commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
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Data Architecture Principles Data Architect
Posted today
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Job Description
We embrace change to create 360-degree value
- **Project Role**:Data Architect
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **Key Responsibilities **:Design logical data model with proper data model patterns to support the business need, reflect the Business reality, and to withstand business change and avoid data update anomalies Ensure the same for any curated data sets3Ensure physical model is implemented with adherence to the Conceptual data model and Logical Data Model Ensure for both transactional data models and curated data sets4Ensure the user experience design reflects the reality of the data concepts and the data model patterns
- **
Technical Experience **:1Integration patterns - web services, 2event-based architectures, etc, 3Data Security, 4Data Governance, Data Conversion, 5Application Performance tuning
- **
Professional Attributes **:1Understand Accentures enterprise Data model, Good communication skills, 2Attitude to learn new technologies driving team 3Good Co-ordination collaboration skills to work with global teams
- **
Educational Qualification **:BE/BTech
- **
Additional Information **:Responsible for the design of the data integration eg, Batch, Web services, Event-based, etc;
15 years of full time education
Director, Enterprise Data Architecture
Posted 1 day ago
Job Viewed
Job Description
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:**
The Director for Data Architecture and Solutions will lead Amgen's enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation.
This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the company's mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction
.
**Roles & Responsibilities:**
+ Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen's business strategy and digital transformation goals.
+ Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
+ Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
+ Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
+ Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
+ Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
+ Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
+ Partner closely with Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
+ Champion innovation and continuous evolution of Amgen's data and analytics landscape through new technologies and industry best practices.
+ Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.
**Functional Skills:**
**Must-Have Skills:**
+ 10+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
+ Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
+ Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
+ Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
+ Demonstrated success managing cross-functional, global teams and large-scale data programs.
+ Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
+ Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.
**Good-to-Have Skills:**
+ Master's or doctorate in Computer Science, Engineering, or related field.
+ Certifications in cloud architecture (AWS, GCP, Azure).
+ Experience integrating AI/ML solutions into enterprise Data Achitecture.
+ Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
+ Scaled Agile or similar methodology experience.
**Leadership and Communication Skills:**
+ Strategic thinker with the ability to influence at the executive level.
+ Strong executive presence with excellent communication and storytelling skills.
+ Ability to lead in a matrixed, global environment with multiple stakeholders.
+ Highly collaborative, proactive, and business-oriented mindset.
+ Strong organizational and prioritization skills to manage complex initiatives.
+ High degree of initiative and self-motivation?
+ Ability to manage multiple priorities successfully. ?
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or?
+ Master's degree and 6 years of Information Systems experience, or?
+ Bachelor's degree and 8 years of Information Systems experience, or?
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. ?
AWS Data Architecture Leadership
Posted 8 days ago
Job Viewed
Job Description
Job Summary
Role: Leadership- AWS Data Architecture
Experience Range: 15-24 years
We are seeking a highly skilled and experienced Technical Leader for our AWS Data Engineering practice. The ideal candidate will be responsible for driving Data Engineering strategy for the practice, architecting scalable enterprise level data solutions and driving the implementation of data projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.
In this role, you will be responsible for establishing and enhancing the company's Data Engineering Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.
Responsibilities:
Technical Leadership:
● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.
● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented
data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.
● Make informed architectural decisions with the customer's needs and priorities at the forefront.
● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.
● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.
● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.
● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope.
● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity
Architecture and Design:
● Design and architect scalable and robust data solutions using AWS services.
● Ensure data architecture aligns with business requirements and best practices.
● Evaluate and select appropriate AWS services for data storage, processing, and analytics.
Project Implementation :
● Oversee the implementation of data engineering projects from inception to completion.
● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.
● Ensure data quality, integrity, and security throughout the data lifecycle.
Technical Innovation :
● Stay updated with the latest trends and advancements in data engineering and AWS technologies.
● Drive continuous improvement initiatives to enhance data engineering practices and processes.
● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.
What is Required:
● Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech/ M.Tech)
● 15+ years of technical hands-on experience in Data space.
● At least 4 end-to-end implementations of large-scale data projects.
● Experience working on projects across multiple geographic regions
● Extensive experience with a variety of projects, including on-premises to AWS migration,
modernization, greenfield implementations and cloud-to-cloud migrations.
● Proficiency with AWS data services such as AWS Glue, Redshift, S3, Athena, EMR, Lambda, and RDS.
● Strong understanding of AWS architecture and best practices for data engineering.
● Proficiency in managing AWS IAM roles, policies, and permissions.
● Proficient in SQL and Python for data processing and transformation.
● Strong understanding of data warehousing concepts, ETL/ELT processes, and data modelling.
● Experience with data integration from various sources including batch and real-time data streams.
● Familiarity with data serialization formats such as Avro, Parquet, and ORC.
● Expertise in optimizing data pipelines and query performance.
● Experience with monitoring and troubleshooting data pipelines.
● Proficiency in performance tuning and optimization of distributed computing environments.
● Experience with data governance frameworks and practices.
● Understanding of data lifecycle management and data retention policies.
● Ability to implement and manage data quality frameworks and processes.
● Hands-on experience with big data processing frameworks like Apache Spark, Hadoop, and Kafka.
● Knowledge of stream processing technologies and frameworks.
● Experience with data visualization tools such as Power BI or Tableau.
What’s in it for you?
The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain. The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients. Flexible working options available to foster productivity and work/life balance.