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

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

Principal Lead – Product Data Engineer

Key skills