Senior Director, Data Engineering
Tasks
- Build AI tooling for data work
- Communicate platform progress and risks
- Define enterprise data platform strategy
- Design AI machine learning data foundations
- Drive cross functional data and AI initiatives
- Establish LLM and agent production guardrails
- Implement data governance and access control
- Implement data quality and lineage automation
- Lead MDM engineering
- Lead and grow data engineering organization
- Lead data engineering for M and A integrations
- Manage data contracts and SLAs
- Mentor engineering managers and senior engineers
- Modernize systems for real time operations
- Operationalize agentic and AI assisted development
- Oversee agile delivery and SDLC practices
- Own data platform roadmap
- Own dbt layer conventions
- Own platform FinOps
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | CI/CD | Change Data Capture | Containerization | DBT | Dagster | Data Capture | Data Contracts | Data Governance | Datahub | Embeddings | Evals | Feature Store | FinOps | Human-in-the-loop | Infrastructure as Code | Kafka | LLM | Lineage | MDM | Model Monitoring | Observability | RAG | Snowflake | Streaming Data | Tableau | The Loop | Vector Database | “as-code”
Education
Regions
Countries
States
Cities
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