AVP, Data Engineering (Enablement)
Work at Home - Tennessee - Other, United States
USD 134K-188K (estimate) Executive-level Full Time
Tasks
- Build self service data product layer
- Define data standards and governance by design
- Deliver cloud native data platform
- Enable AI ready data products
- Enable analytics at scale
- Establish data observability and quality monitoring
- Evolve data platform architecture
- Implement data lineage and auditability
- Lead program and project delivery
- Manage data access controls and privacy protections
- Measure platform adoption and reliability
- Optimize data platform cost efficiency
- Own data platform strategy
- Support data science model development and monitoring
Perks/Benefits
- Comprehensive benefits package
- Professional development
- Recognition incentives
- Tuition reimbursement
- Work-life flexibility
Skills/Tech-stack
ANSI SQL | Access Control | Advanced Analytics | Apache Spark | Audit Logging | Azure | Code review | Columnar Storage | Cost Optimization | Data Governance | Data Lineage | Data Observability | Data Pipelines | Data Quality | Databricks | DevOps | Feature Engineering | Graph Databases | HIPAA | Key-Value Stores | Key-value | Machine Learning | Metadata Management | Observability | Phi | Privacy protections | Relational databases | Role-Based Access | Role-Based Access Control | Schema Design | Self-Service | Self-service analytics | Service analytics | Telemetry | Test automation
Education
Roles
Data Engineering | Data Engineering Manager | Engineering | Engineering Manager | Manager | VP | VP Data | VP, Data Engineering
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