43 Data Architecture jobs in India
Power Platform Data Solutions Engineer
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Job Description
Job Title:
Power Platform (Azure DevOps & .NET)
Job Location:
Hyderabad, India
Worksite:
Onsite (100%)
Shift:
PST Timings
About WCT:
WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).
Role:
This role is dedicated to delivering data solutions within the Power Platform environment and developing various applications integrated with Azure API for FHIR and FHIR service. The primary objective is to ensure seamless data integration and management by leveraging cutting-edge technologies and best practices. The successful candidate will play a crucial role in monitoring and optimizing build and release pipelines, enhancing monitoring tools, ensuring the stability and performance of data operations, and developing applications to improve healthcare workflows.
Responsibilities:
- Development, Automation, and Solutioning (30%)
- Develop web, windows, and executable applications using .Net Core and ASP.Net MVC.
- Develop services using .Net and .Net Core Web API and web services.
- Develop database components such as tables, views, indexes, functions, and stored procedures.
- Fix application defects for UI and database.
- Handle change requests with the development of requested features and integration and regression tests.
- Develop and maintain automation scripts using Python, PowerShell, and other relevant scripting languages.
- Provide technical support for data operations.
- Optimize the performance and stability of data solutions.
Build, Release Management, and Production Support (25%)
- Monitor and fix build pipelines, release pipelines, and non-prod environments.
- Trigger and monitor deployments to production environments.
- Plan and address issues in build systems as requested by the Platform team.
- Create deployment builds and artifacts, installation guides, and end-user manuals.
- Perform deployments in Dev/Int/UAT environments, check, and repair build failures.
- Resolve production issues as a priority.
- Coordinate with onshore and offshore teams to be in sync with daily development status.
Data Integration, Management, Integration, and Documentation (20%)
- Ensure seamless data integration and management using Microsoft Power Platform.
- Build and maintain Power Platform solutions to support data operations.
- Leverage DevOps principles and practices to optimize data operations.
- Develop integrations between different applications and services.
- Develop Power BI visualizations and stored procedures for data analysis.
- Create technical specification documents based on client's functional/business requirement documents.
- Analyze legacy applications and validate business rules for migration to newer applications.
Monitoring, Incident Management, Testing, and Quality Assurance (15%)
- Monitor and resolve or report S360 items, CG alerts, auto-generated PRs, etc.
- Enhance monitors, dashboards, ICM workflows, Geneva Actions, etc.
- Develop tests and test data to maximize code coverage to meet quality standards.
- Perform code analysis and resolve performance and security bottlenecks.
- Perform peer reviews for team members and provide feedback for improvement.
- Conduct KT sessions with new team members about technical and functional aspects of the application.
Qualifications Required:
- Power Platform:
Proficiency in using Microsoft Power Platform for data integration and management. - DevOps:
Strong understanding of DevOps principles and practices. - Build and Release Pipelines:
Experience in monitoring and fixing build and release pipelines. - Programming Languages:
Proficiency in relevant programming languages such as Python, PowerShell, C#, .Net, .Net Core, ASP.NET, ASP.NET MVC, Web APIs, Web Services, WCF, MS SQL, Angular, React, HTML, CSS, JavaScript, jQuery, Ajax. - Monitoring Tools:
Experience with monitoring tools and enhancing dashboards and workflows. - Cloud Platforms:
Familiarity with cloud platforms, especially Microsoft Azure (Azure Functions, Azure Synapse Workspace, Azure Storage, Azure Virtual Desktop). - Version Control:
Proficiency with version control systems like GitHub, TFS. - Other Tools:
Docker, Application Insights, MOQ, Visual Studio, SSMS, Power BI.
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Director, Data Architecture
Posted 4 days ago
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**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.
Data Architecture Specialist
Posted today
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Job Description
About Us
BodyTolk.shop is an eCommerce platform in the intimate and adult lifestyle segment. We combine bold branding with a smooth user experience — and our tech backbone plays a major role in making it all work seamlessly.
Database Developer Role OverviewWe are seeking a skilled Database Developer to support our backend team in structuring, optimizing, and managing our growing data infrastructure. This role is ideal for someone who understands the power of clean, scalable database architecture and wants to apply it in a live product environment.
Responsibilities- Design and maintain relational databases (primarily MySQL)
- Collaborate with backend developers (Node.js / Spring Boot) to manage data models
- Optimize database queries and indexing for performance
- E nsure data integrity, consistency, and security across environments
- Create stored procedures, triggers, and views
- Assist in creating automated reports or dashboards if needed
- Solid understanding of SQL and relational database design
- Hands-on experience with MySQL (or similar RDBMS)
- Knowledge of ER diagrams and normalization
- Familiar with data security best practices
- Bonus: Exposure to NoSQL (MongoDB), ETL pipelines, or DB monitoring tools
- Real-world experience with production-grade databases
- Collaboration with cross-functional teams (backend, frontend, product)
- Exposure to eCommerce data structures and high-volume transaction management
- Certificate of Completion & Letter of Recommendation (based on performance)
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.Sr. Analyst, Data Architecture
Posted 4 days ago
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Job Description
Job Number #168159 - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**Title: Sr. Analyst, Data Architecture**
**Brief introduction - Role Summary/Purpose :**
+ The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering.
+ This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI.
+ The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.
**Responsibilities :**
+ Design, develop and refine AI-generated text prompts for various applications
+ Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs
+ Monitor and analyze prompt performance to identify areas for improvement
+ Optimize AI prompt generation process to enhance overall system performance
+ Stay up-to-date on the latest advancements in AI, natural language processing and machine learning
+ Provide support to teams in understanding prompt engineering best practices
**Required Qualifications :**
+ Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
+ 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred
+ Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms
+ Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )
+ Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,
+ Ability to Read , Analyze and Visualize data
+ Effective Verbal & Written Communication for Business engagement
**Preferred Qualifications:**
+ Excellent problem-solving and analytical skills
+ Ability to collaborate effectively with cross-functional teams
+ Working knowledge of consumer packaged goods industry
+ Understanding of Colgate's processes, and tools supporting analytics (for internal candidates)
+ Willingness and ability to experiment with new tools and techniques
+ Good facilitation and project management skills
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-Hybrid
Director, Enterprise Data Architecture
Posted 4 days ago
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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. ?
Sr Manager, Data Architecture
Posted 4 days ago
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Job Description
About McDonalds:
One of the worlds largest employers with locations in more than 100 countries, McDonalds Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise.Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
Position Summary:
We are seeking an experienced Data Architect to design, implement, and optimize scalable data solutions on Amazon Web Services (AWS) and / or Google Cloud Platform (GCP). The ideal candidate will lead the development of enterprise-grade data architectures that support analytics, machine learning, and business intelligence initiatives while ensuring security, performance, and cost optimization.
Who we are looking for:
Primary Responsibilities:
Key Responsibilities
Architecture & Design:
- Design and implement comprehensive data architectures using AWS or GCP services
- Develop data models, schemas, and integration patterns for structured and unstructured data
- Create solution blueprints, technical documentation, architectural diagrams, and best practice guidelines
- Implement data governance frameworks and ensure compliance with security standards
- Design disaster recovery and business continuity strategies for data systems
Technical Leadership:
- Lead cross-functional teams in implementing data solutions and migrations
- Provide technical guidance on cloud data services selection and optimization
- Collaborate with stakeholders to translate business requirements into technical solutions
- Drive adoption of cloud-native data technologies and modern data practices
Platform Implementation:
- Implement data pipelines using cloud-native services (AWS Glue, Google Dataflow, etc.)
- Configure and optimize data lakes and data warehouses (S3 / Redshift, GCS / BigQuery)
- Set up real-time streaming data processing solutions (Kafka, Airflow, Pub / Sub)
- Implement automated data quality monitoring and validation processes
- Establish CI/CD pipelines for data infrastructure deployment
Performance & Optimization:
- Monitor and optimize data pipeline performance and cost efficiency
- Implement data partitioning, indexing, and compression strategies
- Conduct capacity planning and scaling recommendations
- Troubleshoot complex data processing issues and performance bottlenecks
- Establish monitoring, alerting, and logging for data systems
Skill:
- Bachelors degree in Computer Science, Data Engineering, or related field
- 9+ years of experience in data architecture and engineering
- 5+ years of hands-on experience with AWS or GCP data services
- Experience with large-scale data processing and analytics platforms
- AWS Redshift, S3, Glue, EMR, Kinesis, Lambda
- AWS Data Pipeline, Step Functions, CloudFormation
- BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub
- GCP Cloud Functions, Cloud Composer, Deployment Manager
- IAM, VPC, and security configurations
- SQL and NoSQL databases
- Big data technologies (Spark, Hadoop, Kafka)
- Programming languages (Python, Java, SQL)
- Data modeling and ETL/ELT processes
- Infrastructure as Code (Terraform, CloudFormation)
- Container technologies (Docker, Kubernetes)
- Data warehousing concepts and dimensional modeling
- Experience with modern data architecture patterns
- Real-time and batch data processing architectures
- Data governance, lineage, and quality frameworks
- Business intelligence and visualization tools
- Machine learning pipeline integration
- Strong communication and presentation abilities
- Leadership and team collaboration skills
- Problem-solving and analytical thinking
- Customer-focused mindset with business acumen
Preferred Qualifications:
- Masters degree in relevant field
- Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer)
- Experience with multiple cloud platforms
- Knowledge of data privacy regulations (GDPR, CCPA)
Work location: Hyderabad, India
Work pattern: Full time role.
Work mode: Hybrid.
Additional Information:
McDonalds is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
McDonalds Capability Center India Private Limited (McDonalds in India) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonalds in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonalds in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Senior Data Architecture Specialist
Posted today
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Job Description
About Data Engineering Role:
">KYFEX is a leading AI consulting firm, dedicated to harnessing the power of artificial intelligence to revolutionize business operations across the globe. Our expertise in Large Language Models (LLMs) positions us at the cutting edge of AI technology, enabling us to offer unparalleled solutions to our clients. As we continue to grow, we're seeking a skilled Remote Principal Data Engineer to lead our efforts in managing and optimizing data processes for LLM training.
Key Responsibilities:
- Design and implement scalable data pipelines for the training of open-source LLMs.
- Collaborate with AI researchers and engineers to understand data requirements and ensure efficient data processing for AI model training.
- Maintain robust data storage solutions, ensuring data integrity, security, and compliance.
- Optimize data retrieval and processing techniques to reduce training time and improve model performance.
- Implement monitoring, logging, and alert systems to ensure high availability and performance of data systems.
- Collaborate with cross-functional teams to integrate LLM solutions into client projects, providing expert advice on data engineering best practices.
- Stay up-to-date with the latest developments in data engineering and LLM technologies, continuously improving our data strategies.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a proven track record of building and managing large-scale data pipelines.
- Strong proficiency in programming languages such as Python or Scala.
- Extensive experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud services (AWS, Google Cloud, Azure).
- Demonstrated experience in data modeling, ETL development, and data warehousing.
- Knowledge of machine learning concepts and experience supporting data needs for AI/ML projects.
- Excellent problem-solving skills and the ability to work independently in a fully remote environment.
Benefits:
- Work at the forefront of AI technology with a team of experts passionate about innovation.
- Enjoy the flexibility and benefits of a fully remote position.
- Engage in challenging and meaningful projects that have a real-world impact.
- Benefit from a culture of continuous learning, professional development, and collaborative achievement.
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Head of Data Architecture
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What are we Looking for?
Tools & Technologies
Manager - Enterprise Data Architecture
Posted today
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KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Data Governance
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
/ / Post Graduate
Product Owner Data Architecture
Posted today
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Product Owner Data Architecture
About the Role
Location India Karnataka Bangalore Remote vs. Office Office/Site only Company Siemens Gamesa Renewable Power, dARE of 500v Organization Wind Power Business Unit Technology Full / Part time Full-time Experience Level Mid-level ProfessionalA Snapshot of Your Day
Lead all aspects of Data Architecture at Siemens Energy. Engage with teams to maintain high data standards.
How You’ll Make an Impact
What You Bring