Ameriprise Financial Services, LLC

Principal Lead – Product Data Engineer

Ameriprise Financial Services, LLC

full-time

Posted on:

Location Type: Hybrid

Location: HyderabadIndia

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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