
Principal Lead – Product Data Engineer
Ameriprise Financial Services, LLC
full-time
Posted on:
Location Type: Hybrid
Location: Hyderabad • India
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Job Level
About the role
- Partner with Product Owners and stakeholders to translate business outcomes into technically actionable, build‑ready requirements
- Decompose epics and features into engineering‑backed user stories with clear acceptance criteria and technical context
- Act as a technical conduit between product and engineering teams, ensuring shared understanding of design trade‑offs and constraints
- Participate in solution discussions, architecture reviews, and technical refinement sessions
- Validate requirements against data models, APIs, pipelines, and cloud infrastructure patterns
- Contribute directly to data analysis, SQL queries, schema definitions, metadata documentation, and pipeline validation
- Support engineering teams with implementation‑level artifacts such as data contracts, business logic mapping, and quality rules
- Define and embed data quality checks, reconciliation logic, and reliability metrics into delivery workflows
- Support backlog prioritization with a clear understanding of technical dependencies and delivery risks
- Contribute to continuous improvement of delivery processes and engineering best practices
Requirements
- Strong hands‑on experience with SQL and data analysis across large datasets
- Solid understanding of cloud data platforms (AWS, Azure, or GCP)
- Familiarity with modern data architectures: Data lakes / Lakehouses, ELT/ETL pipelines, Streaming or batch data processing
- Working knowledge of APIs and data integration patterns
- Data modeling (conceptual, logical, and physical) skills
- Data quality and reconciliation frameworks (SODA)
- Comfortable working in Agile / DevOps delivery models
Benefits
- Health insurance
- Flexible work arrangements
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata analysisdata modelingdata qualityreconciliation logicdata contractsbusiness logic mappingquality rulescloud data platformsdata integration patterns
Soft Skills
collaborationcommunicationproblem-solvingtechnical understandingprioritizationcontinuous improvement