Director, Data Platform Engineering
Milford, MA, United States
USD 173K-270K (estimate) Executive-level Full Time
Tasks
- Architect enterprise data platform
- Bridge Databricks and Power BI consumption layer
- Build Power BI enterprise semantic layer
- Build and govern Databricks lakehouse
- Define SLAs and SLOs
- Define bi engineering standards
- Define change management process
- Enable AI platform capabilities
- Enforce Unity Catalog governance
- Enforce data governance, security, and compliance
- Establish platform operations discipline
- Govern AI workloads and access controls
- Govern Power BI deployment pipelines
- Implement infrastructure as code with Terraform
- Implement platform monitoring and observability
- Lead direct platform engineering team
- Lead distributed GCC delivery model
- Manage platform roadmap and delivery milestones
- Optimize Delta Lake architecture
- Own platform on call and incident management
- Own total cost of ownership using FinOps
- Partner with vendor stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Audit Logging | Azure | CI/CD | Change Management | Composite Models | Cost of ownership | DAX | Data Classification | Data Governance | Data Lineage | Databricks | Dataflows | Delta Lake | FinOps | GitHub Actions | IAM | Incident Management | Incremental refresh | Infrastructure as Code | Lakehouse | Least Privilege | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Registry | Model Serving | Monitoring | Networking | Observability | Pipeline infrastructure | Postmortems | Power BI | RAG | Row Level Security | SLAs | SLOs | Semantic models | Service principals | Tabular) | Terraform | Total cost of ownership | Training Pipeline | Training Pipeline Infrastructure | Unity Catalog | Vector Search | “as-code”
Education
N/A
Regions
Countries
States
Cities
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