GenAI Azure Cloud Data Architect

Join to apply for the GenAI Azure Cloud Data Architect role at Capgemini

Overview

Choosing Capgemini means being part of a company where you can shape your career, be supported and inspired by a collaborative global community, and reimagine what’s possible. Help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Key Responsibilities

Architecture & Strategy

• Design and modernize data architectures for Azure AI Foundry, aligning with enterprise AI and analytics strategies.
• Develop scalable solutions using Azure PaaS services such as Azure Data Factory, Synapse Analytics, Azure Data Lake, Cosmos DB, and Azure Machine Learning.
• Architect AI workloads using reference models for generative AI (e.g., LLMs, RAG) and non-generative AI (e.g., predictive analytics, classification).

Implementation & Integration

• Lead end-to-end data platform modernization efforts including migration, transformation, and optimization.
• Integrate AI services such as Azure OpenAI, Cognitive Services, and Azure AI Studio into data pipelines and applications.
• Ensure seamless data flow across structured and unstructured sources using ETL/ELT pipelines.

Governance & Security

• Implement data governance, lineage, and cataloging using Purview and other Azure-native tools.
• Enforce security, compliance, and privacy standards across AI and data workloads.
• Apply Well-Architected Framework principles to ensure reliability, scalability, and cost-efficiency.

Collaboration & Leadership

• Collaborate with data scientists, ML engineers, and business stakeholders to translate business needs into technical solutions.
• Mentor junior architects and engineers, fostering a culture of innovation and excellence.
• Act as a technical advisor in architectural design sessions and customer engagements.

Skills and Qualifications

• 12+ years of experience in data architecture, cloud platforms, and enterprise data solutions.
• Deep expertise in Azure data services: Azure SQL, Synapse, Data Factory, Data Lake, Cosmos DB.
• Experience with AI/ML platforms: Azure Machine Learning, Azure OpenAI, Databricks, PyTorch, scikit-learn.
• Strong understanding of AI architecture patterns including GenAIOps, MLOps, and RAG.
• Proficiency in data modeling, data warehousing, and real-time analytics.
• Familiarity with data governance tools and frameworks.
• Excellent communication and stakeholder management skills.

Life at Capgemini

Capgemini supports all aspects of well-being throughout the changing stages of life and career. For eligible employees, we offer: Flexible work, healthcare (including dental, vision, mental health, and well-being programs), financial well-being programs such as 401(k) and Employee Share Ownership Plan, paid time off and holidays, paid parental leave, family building benefits (adoption assistance, surrogacy, cryopreservation), social well-being benefits (subsidized back-up child/elder care and tutoring), mentoring, coaching and learning programs, Employee Resource Groups, disaster relief.

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the duties, responsibilities and qualifications required for this position. Capgemini will consider reasonable accommodations during recruitment as needed.

Click the following link for more information on your rights as an Applicant:

Salary Transparency Disclaimer

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we would pay for this role at the time of posting, and may be modified in the future. The base salary range for the tagged location is $110,841 to $145,000/year. This role may be eligible for additional compensation such as variable compensation, bonus, or commissions. Benefits include paid time off, medical/dental/vision insurance, 401(k), and other eligible programs. Note: Pay is not earned until earned, vested, and determinable.

Additional Information

Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transition with capabilities in AI, cloud and data, and industry expertise. The group comprises 340,000+ team members in 50+ countries.