Capgemini is looking for a Senior Data Architect to join us as a Senior Technical Lead. You will apply your deep expertise across the Azure data ecosystem to drive the delivery of data and analytics solutions, blending hands-on technical skills with leadership and stakeholder engagement.
What You'll Do
- Architect and implement scalable data integration and analytics solutions using Azure Data Services (Databricks, Synapse, ADF).
- Lead development of reusable frameworks for data ingestion, transformation, and analytics.
- Ensure delivery excellence through code quality, performance optimization, and best practices in Python, PySpark, and SQL.
- Apply Azure identity and security principles including Managed Identities, Azure AD authentication, Key Vault integration, Networking (VNETs, private endpoints), and RBAC.
- Maintain a high standard of documentation hygiene across solution components and processes.
- Mentor and guide a team of data engineers and developers, fostering a culture of accountability.
- Conduct regular code reviews, pair programming sessions, and internal knowledge sharing sessions with the delivery team.
- Plan and manage workstreams, delegating effectively to reduce dependencies and minimize technical debt.
- Lead technical discussions with clients, clearly documenting assumptions, expectations, and solution design.
- Collaborate with business stakeholders to understand requirements, translate them into technical solutions, and manage expectations.
- Communicate status, risks, decisions, and mitigation strategies to both technical and non-technical audiences with clarity.
- Define solution roadmaps aligned to enterprise strategy, business priorities, and architectural standards.
- Proactively identify risks and drive alignment to ensure predictable, high-quality delivery.
- Champion modern engineering practices including DevOps, CI/CD pipelines, IaC, automated testing, and repeatable deployment patterns.
What We're Looking For
- 10+ years of experience in data engineering, analytics, or solution architecture.
- Strong hands-on experience with Azure Databricks (Spark, Delta, ML runtime).
- Strong hands-on experience with Azure Synapse Analytics (serverless, pipelines, dedicated pools).
- Strong hands-on experience with Azure Data Factory / Synapse Pipelines.
- Strong hands-on experience with Data Lake Storage Gen2, Databricks Unity Catalog, Spark SQL.
- Strong hands-on experience with Python, PySpark, and Spark optimization.
- Strong hands-on experience with Azure DevOps, CI/CD, and Infrastructure as Code.
- Strong hands-on experience with Cloud security & identity: Managed identities, Azure AD, Key Vault, RBAC, and networking fundamentals.
- Experience with Computer Vision and AI/ML implementation.
- Proven experience in leading technical teams and managing delivery in an Agile framework.
- Excellent communication and interpersonal skills; able to influence and lead cross-functional teams.
- Experience in stakeholder management, risk assessment, and project planning.
Nice to Have
- Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate, Databricks certifications).
- Experience in oil & gas, industrial, or asset-heavy domains.
Technical Stack
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Factory
- Data Lake Storage Gen2
- Databricks Unity Catalog
- Spark SQL
- Python
- PySpark
- Azure DevOps
- CI/CD
- Infrastructure as Code
- C#
Benefits & Compensation
- Compensation range: $135,085 - $224,910
- Paid time off: Vacation (12-25 days, depending on grade), Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
Capgemini is an Equal Opportunity Employer encouraging inclusion 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.
