Architect

UnitedHealth Group•Eden Prairie, MN

9d•$112,700 - $193,200

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline
8+ years of experience in software engineering, data engineering, or enterprise application development, including 5+ years in an Architecture role
8+ years of experience designing and implementing large-scale analytics, data processing, and cloud-based data solutions
5+ years of solid hands-on expertise with Azure technologies (Azure Databricks, Azure Data Factory, Azure Storage, Azure SQL) and cloud-native data architecture patterns
5+ years of experience with distributed computing, data processing, and programming languages including Spark, PySpark, SQL, Python, Java, or Scala
Hands-on experience implementing AI/ML and GenAI-driven solutions, including utilizing tools such as GitHub Copilot, LLMs, MLOps frameworks, and intelligent automation capabilities
Experience with Infrastructure as Code (Terraform), CI/CD automation, DevOps practices, and cloud governance models
Demonstrated experience designing enterprise-scale data pipelines, data lakes, Lakehouse architectures, and high-volume analytical platforms

Nice To Haves

Experience in healthcare analytics, risk adjustment, claims analytics, quality analytics, provider performance, or value-based care solutions
Experience leading cloud transformation and analytics modernization initiatives with measurable business outcomes related to cost reduction
Knowledge of Medicare Advantage, ACA, Medicaid, RAF, HCC, HEDIS, Chart Review, Suspecting Analytics, and Clinical Quality programs

Responsibilities

Define and drive the end-to-end architecture for the Analytics Platform supporting Risk Adjustment, Quality Analytics, Chart Targeting, Care Management, and Analytics & Reporting solutions
Lead architecture and design reviews for strategic initiatives, including System integration, analytics modernization, and workflow automation
Design scalable, secure, and cost-efficient big data solutions leveraging Azure Databricks, Spark, Delta Lake, Azure Data Factory, Airflow, Kafka, and cloud-native services
Establish architecture standards, reusable frameworks, and engineering best practices to improve scalability, reliability, performance, and maintainability across platforms
Partner with Product Management, Engineering, Operations, and Business stakeholders to translate business requirements into technical solutions aligned with organizational objectives
Drive platform modernization initiatives, including migration from legacy technologies to cloud-native architectures, workflow orchestration modernization, and infrastructure automation
Lead complex data integration strategies involving claims, membership, provider, pharmacy, quality, and risk adjustment datasets across multiple lines of business (MA, ACA, Medicaid)
Utilize GenAI tools such as GitHub Copilot, Codex, and enterprise AI platforms to improve developer productivity, automate engineering workflows, accelerate code reviews, and improve solution quality
Define observability, reliability, governance, security, and compliance standards across analytics platforms and data pipelines
Collaborate with DevOps and operations teams to proactively identify architectural risks, improve resiliency, and drive rapid resolution of production incidents
Provide technical leadership, mentoring, and architectural guidance to engineering teams while establishing governance through Architecture Review Boards (ARB) and solution reviews
Evaluate emerging technologies, conduct proofs of concept (POCs), and recommend innovative solutions that improve business outcomes, operational efficiency, and client experience