Director, Data Engineering & Analytics
Lexington, KY, United States
USD 160K-226K (estimate) Executive-level Full Time
Tasks
- Build and develop data engineering analytics team
- Collaborate with BI teams to improve adoption
- Define enterprise data architecture strategy
- Deliver curated datasets and semantic layers
- Design and govern scalable data platforms
- Drive platform scalability and cost optimization
- Enable self service analytics with governance
- Ensure data platform availability and performance
- Ensure data security and privacy compliance
- Establish data modeling and integration standards
- Implement sensitive data access controls
- Lead scalable data pipeline development and operations
- Manage projects with change communication
- Partner to define key metric definitions
- Prioritize high value data initiatives with business leaders
- Provide executive reporting on data impact
- Provide production ready feature ready datasets for AI
- Support data versioning and lineage for MLOps
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Amazon Web Services | Apache Airflow | Azure Data | Azure Data Factory | Cloud Data | Cloud Data Platforms | Cloud platform | DBT | Data Architecture | Data Factory | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Versioning | Data Warehouse | Data integration | Data platforms | Domain Oriented Data Modeling | ELT | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Metadata Management | Microsoft Azure | Power BI | Privacy Compliance | Security Compliance | Semantic Modeling | Streaming Data | System Integration | Web Services
Education
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