Head of Data Engineering
USD 300K-350K Executive-level Full Time
Tasks
- Build data ingress and egress patterns
- Build vector database infrastructure for LLM workloads
- Create embedding generation and RAG pipelines
- Create multi year data engineering strategy and roadmap
- Define data quality frameworks for pipelines
- Deploy data catalog and enable self service analytics
- Design modern scalable data platform
- Design streaming architectures
- Establish data engineering function
- Implement change data capture and incremental processing
- Implement orchestration with Prefect or Airflow
- Implement unified data lake and governance
- Modernize Azure Data Factory pipelines
- Own data platform cost optimization
- Recruit mentor and develop data engineers
- Set up monitoring alerting and observability
Perks/Benefits
- 401k match
- Commuter benefits
- Comprehensive medical, dental, and vision
- Disability insurance
- Education sponsorship program
- Employee assistance program
- Financial wellness
- Flexible savings accounts
- Health savings account
- Life insurance
- Mental health app
- Mindfulness and Wellbeing App
- New parent leave
Skills/Tech-stack
Amazon Kinesis | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Event | Azure Event Hubs | Azure Storage | Azure Synapse | Azure Synapse Analytics | CDC | Change Data Capture | DAG | Data Capture | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Quality | Databricks | Delta Lake | Directed Acyclic Graphs | ELT | ETL | Embedding Generation | Event Driven | Event Hubs | Event-driven architecture | Kafka | Metadata Management | Observability | Prefect | Python | RAG | Retrieval-Augmented Generation | SQL | Scala | Similarity Search | Streaming Data | Synapse Analytics | Unity Catalog | Vector Database | Vector indexing
Education
N/A
Roles
Data Engineer | Data Engineering | Engineer | Engineering | Head | Head of Data | Head of Data Engineering | Principal | Principal Data Engineer
Regions
Countries
States
Cities
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