Architect

Optum; Eden Prairie (MN); On-site; USD 113,000 - 193,000; Full time

Benefits offered by this job

Equity stock purchase

401k contribution

Comprehensive benefits package

Job summary

Optum in Eden Prairie, MN seeks an experienced Senior Architect to define end-to-end analytics platform architecture for Risk Adjustment, Quality Analytics, and care management initiatives. You will lead design reviews, drive cloud-native modernization, and partner with product, engineering, and operations to align technical solutions with business goals.

You will apply Azure Databricks, Spark, Delta Lake, and orchestration tools to build scalable, secure data pipelines, establish governance,

Qualifications

• 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

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

Skills

Azure technologies

Big data analytics

Cloud architecture

GenAI & AI/ML tools

Data integration

DevOps practices

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Databricks

Azure Data Factory

Spark

Delta Lake

Airflow

Kafka

Terraform

GitHub Copilot

Job description

Improve the lives of others while Caring. Connecting. Growing together.

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.

Primary 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

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.