Director, Data Engineering - OptumRx Technology - Remote
Primary location: Schaumburg, Illinois
USD 134K-230K Executive-level Full Time
Tasks
- Build AI-ready data foundations
- Build feature stores
- Define AI ready data platform strategy
- Define SLAs and quality standards
- Deliver data product management
- Design RAG architectures
- Design scalable cloud-native data architectures
- Develop data pipelines
- Enable MLOps lifecycle management
- Establish data governance and stewardship
- Establish engineering standards and best practices
- Evaluate emerging AI data technologies
- Implement data quality and lineage
- Implement vector database solutions
- Lead data engineering teams
- Lead proof-of-concepts
- Manage data cataloging and master data management
- Modernize legacy data platforms
- Operationalize machine learning and generative AI
- Optimize cloud costs and platform utilization
- Recruit, mentor, and develop engineering teams
- Set platform reliability and performance KPIs
Perks/Benefits
- 401k contribution
- Comprehensive benefits package
- Equity stock purchase
- Incentive and recognition programs
- Remote work flexibility
Skills/Tech-stack
AI Observability | API Development | Agentic AI | Agile | Apache Spark | Artificial Intelligence | Azure | Cloud Native | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Lineage | Data Management | Data Products | Data Quality | Data Stewardship | Data Warehousing | Databricks | Explainability | Feature Stores | Generative AI | Knowledge graphs | MLOps | Machine Learning | Master Data | Master Data Management | Metadata Management | QA Automation | RAG | Real Time | Real-time Streaming | Semantic layer | Shell Scripting | Unix | Vector Databases
Education
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