Vice President, Data Quality Lead Engineer
Core
Lead the strategy, architecture, and delivery of a scalable data quality framework for BlackRock's Enterprise Data Platform (Aladdin Data) to ensure data completeness, accuracy, and integrity for decision-making.
Role type
VP, Data Quality Framework Lead Engineer
Builds
A metadata-driven, Python-based data quality framework with custom operators and orchestration for batch and near-real-time pipelines.
Domain
Financial services / Enterprise Data Platform / Data Governance
Deliverable
production ML models | product features | infrastructure
Required skills
Python, data quality framework design, workflow orchestration, Snowflake, MSSQL, metadata-driven architecture, anomaly detection, reconciliation patterns, API design, platform scalability
Preferred skills
Financial services data quality experience, FastAPI, event-driven/streaming architectures, OCI container orchestration, domain-driven design
Technologies
Python, Great Expectations, FastAPI, Snowflake, MSSQL, Directed acyclic graph-based workflow orchestration framework, DBT, OCI
Responsibilities
Define technical direction for metadata-driven quality rules and policy enforcement; design controls for early issue detection in data pipelines; build observability and remediation operating models; implement profiling, anomaly, and drift detection; drive adoption of quality standards across stakeholders; mentor engineers and make pragmatic architecture decisions.
Seniority
VP, strategic leadership with hands-on technical execution
