Analytics Engineering, Sr. Manager
USD 160K-204K (estimate) Senior-level Full Time
Tasks
- Define data warehouse as a product
- Design build and evolve enterprise data warehouse models
- Detect data drift and identify data quality issues
- Develop AI friendly data assets in Unity Catalog
- Develop and manage external tables streaming tables views materialized views
- Ensure SDLC with version control code review CI CD
- Establish testing framework for data model validation
- Govern secure compliant analytical data for sensitive healthcare data
- Implement data quality tests for accuracy completeness freshness
- Improve models and queries to meet SLAs
- Lead analytics engineering team mentoring and development
- Maintain data architecture in Databricks Lakehouse
- Manage data needs backlog and prioritize high value assets
- Monitor query performance and pipeline behavior
- Provide monthly KPI updates to leadership
- Translate business requirements into KPIs and Gold layer models
- Work with stakeholders to align metrics definitions and assumptions
Perks/Benefits
- 401k with company match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid parental leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
Apache Airflow | Automated testing | Azure Data | Azure Data Factory | Azure DevOps | CI/CD | Code review | DBT | Data Drift | Data Drift Detection | Data Factory | Data Governance | Data Modeling | Data Quality | Databricks | Databricks Lakehouse | Drift Detection | External tables | GitHub Actions | HIPAA | Materialized views | Medallion Architecture | Metadata Management | PII | Performance Tuning | Phi | Query Optimization | Regression testing | SQL | Snowflake | Soda | Streaming Tables | Unity Catalog | Version control | Views
Education
N/A
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