Director, Data & Analytics Engineering
Tasks
- Architect semantic retrieval surfaces
- Define scalable data model architecture in Snowflake
- Design schema validated event flows
- Drive AI ready real time signal graph roadmap
- Establish data governance standards and manage stakeholder expectations
- Evolve dbt models for agent consumable patterns
- Identify bottlenecks and improve engineering workflows
- Implement HIPAA aligned PHI controls
- Improve reliability scalability observability security and cost efficiency
- Lead data and analytics engineering team
- Lead sprint ceremonies roadmap planning and prioritization
- Oversee data integrity documentation testing monitoring and provenance
- Own data infrastructure for KPI reporting and dashboards
- Own data warehouse and pipeline architecture
- Partner with machine learning data science product and BizOps
- Resolve critical technical issues across data stack
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CloudEvents | DBT | Dagster | Data Engineering | Data Governance | Data Integrity | Data Modeling | Data analytics | ELT | Event Driven | Event-driven architecture | EventBridge | FHIR | Fivetran | HIPAA | HITRUST | Hex | Hightouch | JSON Schema | Kafka | LLMOps | OLAP | Observability | PGVector | Pinecone | Prefect | Provenance | Python | SQL | Security | Semantic Retrieval | Snowflake | Tableau | Vector Databases | Vector Search
Education
N/A
Regions
Countries
States
Cities
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