Director of Data Engineering
Chicago - Illinois - Wacker, United States
USD 132K-165K Executive-level Full Time
Tasks
- Build engineering standards and patterns
- Conduct structured code reviews
- Design match and merge workflows
- Enforce data lineage with Unity Catalog
- Enforce data quality rules
- Establish standardized software development lifecycle
- Execute testing for data engineering changes
- Govern contractor access
- Hire mentor and assess data engineers
- Implement data quality framework
- Integrate golden record into gold layer
- Lead master data management technical implementation
- Maintain engineering documentation
- Manage access audit logs
- Manage employee onboarding process
- Manage version control and code reviews
- Optimize MDM performance
- Orchestrate data pipelines
- Own medallion architecture
- Plan contractor staffed delivery pods
- Provide technical oversight
- Run CI CD pipelines for data
- Transform raw data to silver and gold layers
- Verify encryption compliance
Perks/Benefits
Skills/Tech-stack
ADLS Gen2 | Access Control | Alerting | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | CI/CD | Cluster management | Data Factory | Data Governance | Data Lake | Data Lake Architecture | Data Lineage | Data Management | Data Quality | Data Quality Gates | Databricks | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | Encryption | Entity Resolution | Fact Table | Fact Table Design | Golden record | Infrastructure as Code | Jobs Workflows | Key Vault | MDM | Master Data | Master Data Management | Match and merge | Monitoring | Pandas | PySpark | Python | Quality gates | SQL | Slowly Changing Dimensions | Spark SQL | Star Schema | Table design | Unity Catalog | “as-code”
Education
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