Senior Data Engineer2350533 | Eden Prairie, Minnesota | Remote

Data Architect

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

You will enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Data Architecture Strategy & Leadership
  • Define and own the end-to-end enterprise data architecture ensuring scalability, performance, integration, and long-term sustainability
  • Develop and maintain reference architectures, patterns, and standards for data modeling, storage, ingestion, processing, governance, and consumption
  • Align data platforms with business outcomes, regulatory requirements, cloud strategy, and modernization initiatives
  • Evaluate and recommend technologies across SQL/No
    
    SQL databases, data lakes, lake houses, ETL/ELT tools, and compute engines based on enterprise fit
• Data Modeling & Database Architecture
  • Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads. Architect robust database schemas, partition strategies, indexing policies, sharding methods, and storage optimizations
  • Define standards for naming, modeling conventions, normalization/denormalization, and lifecycle management of data assets
  • Provide expert guidance on SQL Server, SQL MI, Azure SQL, PostgreSQL, MongoDB, and other enterprise data platforms
• Data Platform Design & Implementation
  • Architect and implement cloud-native, hybrid, and on-prem data platforms supporting ingestion, storage, processing, and analytics
  • Design lake house and warehouse environments using Databricks, Synapse, ADF, Delta Lake, and scalable compute layers
  • Build end-to-end data flows covering batch, streaming, ELT pipelines, metadata, lineage, and monitoring
  • Ensure data platforms meet performance, concurrency, high-availability, and disaster recovery requirements
• Data Governance, Quality & Security
  • Define policies for metadata management, classification, lineage, quality scoring, and stewardship
  • Enable enterprise governance across catalogs, glossaries, access patterns, and regulatory compliance
  • Enforce security controls such as RBAC, encryption, auditing, masking, and network isolation
  • Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows
• Dev Ops, Automation & Infrastructure-as-Code
  • Implement infrastructure and data platform provisioning using Terraform/IaC for repeatable deployments
  • Build CI/CD pipelines (Git Hub Actions, Azure Dev Ops) for data models, SQL objects, ETL workflows, and platform components
  • Support containerized workloads using Docker and Kubernetes/AKS
  • Automate environment setup, schema migrations, monitoring, and compliance checks
• Observability, Performance & Reliability
  • Define performance benchmarks and baselines across storage, computer, SQL, and data movement
  • Optimize SQL/ETL workloads, reduce infrastructure costs, and tune pipelines for high throughput
  • Establish monitoring, alerting, anomaly detection, and reliability playbooks
  • Lead incident triage, RCA, and long-term remediation for platform stability
• Cross-Functional Collaboration
  • Partner with Product, Engineering, Analytics, Security, and Cloud teams to align data strategy with business goals
  • Translate business requirements into scalable data solutions
  • Provide mentorship and technical leadership to data engineers, DBAs, and architects
• Innovation & Continuous Improvement
  • Stay current with emerging trends in data modeling, platforms, storage formats, and distributed systems
  • Drive modernization initiatives such as lake house adoption, automation, and cloud-native architecture
  • Refine architecture based on usage insights and business evolution
• Documentation &…