Manager, Data Engineer
Core
Own the data lifecycle including ingestion, modeling, governance, quality, and security to enable trusted data usage for decision-making.
Role type
Manager, Data Engineer
Builds
Scalable data platform stack, data ingestion pipelines, governed data models, and self-service analytics capabilities.
Domain
Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data strategy definition, data platform architecture, SQL, Python, dimensional modeling, ELT design, data quality frameworks, access control, privacy compliance (GDPR/PDPA), stakeholder communication, team management.
Preferred skills
Event analytics, reverse ETL, semantic layers (LookML), ML feature stores/ML Ops (Feast, Vertex/AWS SageMaker), ISO 27001/SOC 2, PCI DSS, data retention & ROPA, DPIA/PIA processes, data masking/tokenization, vendor risk management.
Technologies
Snowflake, BigQuery, CI/CD tools, workflow orchestration tools, LookML, Feast, Vertex, AWS SageMaker.
Responsibilities
Define and execute data strategy aligned with business goals; own the data platform stack from ingestion to BI layers; build and operate data ingestion pipelines; implement data governance and security practices; enable self-service analytics; manage data engineers and analysts; coordinate with external vendors.
Seniority
Manager, hands-on leadership
