Verified today
Principal Lead- Product Data Engineer
About the role
Principal Lead- Product Data Engineer at Ameriprise India LLP drives technical product delivery in a hybrid environment. Works with Product Owners, Data Engineers, Solution Architects, and Platform Engineering to translate business outcomes into build‑ready requirements, decompose epics into user stories, and ensure alignment with architectural standards. Provides hands‑on data analysis, SQL queries, schema design, metadata documentation, and pipeline validation across cloud data platforms (AWS, Azure, GCP). Supports cloud modernization, cost optimization, and AI enablement initiatives, and contributes to data quality, reliability, and automation. Acts as a technical conduit, participates in architecture reviews, validates requirements against data models and APIs, and delivers high‑quality documentation to reduce ambiguity. Drives backlog prioritization, delivery process improvement, and governance observability. Requires strong SQL, cloud data platform, data lake, ELT/ETL, streaming, batch, API, data modeling, SODA, Agile, DevOps, and collaboration skills.
What you’ll do
- Translate business outcomes to build‑ready requirements
- Decompose epics into user stories with acceptance criteria
- Align product intent with architecture and platform
- Act as technical conduit between product and engineering
- Participate in architecture reviews and technical refinement
- Validate requirements against data models, APIs, pipelines
- Contribute data analysis, SQL queries, schema definitions
- Support cloud modernization, cost optimization, AI enablement
- Embed data quality checks, reconciliation logic, reliability metrics
- Automate validation, monitoring, reporting
- Ensure observability, lineage, governance early
- Improve delivery processes and engineering best practices
What you’ll bring
- SQL & large dataset analysis
- Cloud data platforms (AWS/Azure/GCP)
- Data lakes, lakehouses, ELT/ETL, streaming, batch
- APIs, data integration, modeling, SODA quality, validation against models, pipelines
- Agile/DevOps delivery
- Translate business to build‑ready requirements
- Decompose epics into user stories
Nice to have
- Data engineering, analytics engineering, or platform engineering teams
- Automation, orchestration, or CI/CD pipelines
- Background transitioning from traditional BA/BSA roles