[Remote] Data Analyst L3
Note: The job is a remote job and is open to candidates in USA. Capgemini is seeking a Data Analyst L3 to support strategic data platform modernization and AI-enabled analytics initiatives. The role will coordinate enterprise data warehouse migrations, data lakehouse modernization, Generative AI adoption, cloud infrastructure governance, and platform observability while providing architectural oversight and stakeholder alignment.
Responsibilities
- This role will support the planning, coordination, and execution of several strategic programs, including enterprise data warehouse migrations, data lakehouse modernization, Generative AI adoption, cloud infrastructure governance, and platform observability
- The successful candidate will work closely with technical and business stakeholders to provide architectural oversight, ensure successful program execution, and drive alignment across multiple workstreams within a complex data ecosystem
Skills
- Enterprise Data Warehouse Migration experience
- Cross-platform migration expertise, including Trino-to-BigQuery migrations
- Strong understanding of Google BigQuery architecture and data warehousing concepts
- Data Lakehouse Architecture and modernization
- Apache Iceberg migration and lifecycle management (v1 to v2+)
- Metadata management and catalog synchronization processes
- Experience supporting Generative AI / LLM implementation initiatives
- AI Agent enablement, context-layer design, and structured query translation validation
- Cost and performance evaluation of AI models (e.g., Gemini model families)
- Cloud Infrastructure Governance and Decommissioning
- Asset tracking, environment retirement, and operational handoff processes
- Grafana and observability/monitoring platforms
- SLO monitoring, telemetry analysis, and performance troubleshooting
- Strong stakeholder management, communication, and coordination skills
- Google Cloud Platform (GCP)
- Dbt
- Apache Spark
- Data Governance and Metadata Management solutions
- FinOps and cloud cost optimization practices
- Enterprise architecture and technical program leadership experience
- Experience working within large-scale analytics and data transformation programs
- AI/ML platform implementation experience
Benefits
- Medical benefits
- Dental benefits
- Vision benefits
- Retirement benefits
Company Overview
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