Vice President, Data Engineering
USD 240K-270K Executive-level Full Time
Tasks
- Build document processing pipelines from blob storage to Databricks
- Build preprocessing pipelines for NLP and LLM consumption
- Debug Spark performance issues and production incidents
- Design ADLS layouts and medallion architecture
- Design and build Spark SQL and Python ETL ELT pipelines in Databricks
- Design incremental loading with Delta Lake merge operations and CDC patterns
- Establish idempotent pipeline design with backfills and reruns
- Implement data governance with Databricks Unity Catalog
- Implement data quality frameworks schema validation and duplicate detection
- Implement text extraction using Azure AI services
- Lead postmortems and troubleshooting for production issues
- Mentor engineers through code review and design guidance
- Optimize Databricks cluster configurations for performance and cost
- Optimize Delta Lake table design partitioning and query performance
Perks/Benefits
- 401k match
- Commuter benefits
- Comprehensive medical, dental, vision
- Employee assistance program
- Flexible savings accounts
- Health savings account
- Mental health app
Skills/Tech-stack
ACID | AI Services | Active Directory | Apache Airflow | Apache Spark | Azure AI | Azure AI Services | Azure Active Directory | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Azure Key Vault | Azure SQL | Azure SQL Database | CDC | Change tracking | Chunking | Cognitive Search | DBT | Data Lake Storage | Data orchestration | Databricks | Databricks SQL | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | Document Intelligence | ELT | ETL | Event Hubs | Form Recognizer | Idempotency | Key Vault | NLP | NLP tokenization | OCR | Prefect | PySpark | Python | SQL | SQL Database | Schema evolution | Spark SQL | Text extraction | Unity Catalog
Education
N/A
Roles
Regions
Countries
States
Cities
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