
11/09/2025 Architect
3 days ago
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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- SDRP Architect
- Architect and lead the migration of AI/ML feature store workloads from ADLS to Snowflake, ensuring scalability and performance
- Design and implement secure data practices including PHI/PII masking and SSH-based authentication for Databricks-Snowflake integration
- Design and deploy Snowflake warehouses, schemas, and environments across production and non-production landscapes
- Estimate and optimize Snowflake compute and storage resources to support data science workflows efficiently
- Databricks or UDLP SME
- Architect and govern Databricks workspaces outside of UAIS, ensuring secure, scalable access to ADLS-based feature stores aligned with enterprise standards
- Design and enforce Unity Catalog structures across environments to maintain robust data governance, lineage, and access control frameworks
- Define and optimize Databricks cluster policies to balance performance and cost-efficiency, driving architectural best practices across teams
- UAIS SME
- Own and manage the UAIS (United AI Studio) platform for the team, overseeing access provisioning, subscription lifecycle, and architectural alignment with AI model usage
- Lead deployment strategy and lifecycle management of OpenAI models within UAIS, acting as the primary liaison with the product team for platform enhancements and issue resolution
- Security Vulnerabilities Ownership
- Monitor and manage security vulnerabilities across On-Prem, Azure and UAIS platforms, coordinating with relevant teams for remediation and providing regular updates to leadership
- Team education and onboarding
- Educate and enable the Data Science team on new features and best practices across Snowflake, Databricks and UAIS platforms to maximize adoption and productivity
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Undergraduate degree or equivalent experience
- Experience working with Azure Architecture, ML or OPS, GenAI
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