Manager, Data Quality Engineering
Ann Arbor, MI, United States
USD 180K-247K (estimate) Senior-level Full Time
Tasks
- Architect cloud lakehouse solutions
- Conduct design reviews and architecture discussions
- Debug production Spark jobs
- Define data product contracts schemas freshness quality semantics
- Deliver data products end to end ingestion transformation semantic modeling and quality
- Design batch and real-time data pipelines
- Enable self service analytics and AI consumption
- Establish enterprise semantics across business domains
- Implement DataOps engineering standards code quality peer review CI CD automated testing documentation observability
- Lead mentor and grow data engineering team
- Lead streaming data solutions with Kafka
- Manage resource allocation across modernization features and operations
- Own data integration transformation and serving layers
- Partner with data science to operationalize pipelines for production
- Present architecture decisions and business impact to leadership
- Shape data engineering strategy and roadmap
Perks/Benefits
- 401k matching
- Adoption Assistance
- Childcare tuition discounts
- Company Mental Health Support
- Fertility benefits
- Fitness nutrition and wellness programs
- Medical, dental, and vision insurance
- Mental health support
- Paid time off
Skills/Tech-stack
ADLS | Active Directory | Agile | Apache Spark | Azure | Azure Active Directory | Azure Data | Azure Data Factory | CCPA | CI/CD | Confluent Kafka | Cosmos DB | Data Factory | Data Governance | Data Quality | Data mesh | DataOps | Databricks | Databricks Workflows | Delta Lake | DynamoDB | Feature Store | GDPR | Git | GitHub Actions | Infrastructure as Code | Jenkins | Kafka Connect | Key Vault | Looker | MLflow | Machine Learning | MongoDB | NoSQL | Power BI | PySpark | Python | SOX | SQL | SQL Server | Schema Registry | Scrum | Talend | Unity Catalog | “as-code”
Education
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