Senior Principal, Data Product Engineering
Core
Own the quality and reliability of transactional data products on a lakehouse platform, ensuring correctness and timeliness for client work.
Role type
Senior Principal, Data Product Engineering (hands-on IC)
Builds
Governed datasets from purchase and card-transaction signals
Domain
Data Engineering / Data Platform
Required skills
Expert SQL, Production Python (PySpark), Data quality/validation/monitoring design, Large-scale distributed platforms (Databricks, Spark), Relational/MPP warehouses, Software engineering practices (CI/CD, testing), High-cardinality data handling
Preferred skills
Transaction/payments/POS data experience, Delta Lake, Workflow orchestration (Airflow), PII handling, Lightweight internal tooling
Responsibilities
Build automated QC layers for completeness, distribution, and anomaly detection; Diagnose failures in large high-cardinality data; Replace manual operations with automation; Evolve Spark/SQL pipelines and tune costs; Set engineering standards and mentor team members
Seniority
Senior, hands-on IC