Manager, Data Quality Engineering
Ann Arbor, MI, United States
USD 140K-160K (estimate) Mid-level Full Time
Tasks
- Add quality gates into CI CD pipelines
- Align data quality metrics to business outcomes
- Build and lead quality engineering team
- Build data quality checks for freshness completeness accuracy validity volume schema drift
- Conduct post-mortems and corrective actions
- Define QE standards and KPIs
- Develop data quality strategy and roadmap
- Embed quality by design into data pipelines
- Guide pipeline resilience and operational excellence
- Implement automated data validation testing
- Implement data quality observability and alerting
- Lead data incident response and RCA
- Own data quality engineering practice
- Support AI ML with reliable training and inference data
Perks/Benefits
- 401k matching
- Adoption Assistance
- Childcare tuition discounts
- Company bonus
- Employee stock purchase discount
- Fertility benefits
- Medical/Dental/Vision insurance
- Mental health support
- No cost Fitness Programs
- Paid holidays and vacation
- Wellness programs
Skills/Tech-stack
Automated testing | Azure Data | Azure Data Factory | Azure Data Lake | CI/CD | Cause analysis | Confluent | Data Cataloging | Data Factory | Data Governance | Data Lake | Data Observability | Data Quality | Data Validation | Data Warehousing | Data quality frameworks | Data quality monitoring | Databricks | Databricks Workflows | Delta Lake | Dimensional Modeling | Great Expectations | Incident Response | Kafka | MTTR reduction | Monte Carlo | Performance Tuning | PySpark | Python | Quality frameworks | Quality monitoring | Query Performance Tuning | Query performance | QuerySurge | Root Cause Analysis | Root cause | SQL | Schema management | Soda | Unity Catalog
Education
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