Data Architect - Data Engineering Lead

Taleo; Minnetonka (MN); On-site; USD 113,000 - 193,000; Full time

Job summary

UnitedHealth Group is seeking a Data Architect / Data Engineering Lead to own end-to-end data platforms, partnering with product, analytics and engineering teams to design scalable, secure, and cost-effective solutions. You will lead architecture roadmaps and govern patterns while staying hands-on with pipelines and modeling.

Responsibilities cover cloud platforms (Snowflake, Databricks), ELT/ETL with Python and Spark, Airflow workflows, data quality and governance.

Qualifications

• 8+ years in data engineering/architecture owning enterprise-scale data solutions.
• 6+ years designing modern data platforms and scalable data delivery approaches.
• 3+ years of data modeling expertise (dimensional, canonical models; conceptual/logical/physical).
• 3+ years of proficiency with Python and SQL; solid engineering discipline (testing, documentation, maintainability).
• 1+ years of experience with cloud data technologies including Snowflake and/or Databricks (Spark-based engineering).
• 1+ years of workflow orchestration experience with Apache Airflow; experience with managed Airflow platforms such as Astronomer.
• 1+ years of experience implementing production-grade pipelines (batch and/or streaming), including CI/CD practices, environment promotion, and operational support.
• 1+ years of experience leading technical direction, mentoring engineers, and influencing architecture decisions across teams.

Responsibilities

• Define and evolve target-state data architecture, including reference architectures and platform standards across warehouse/lakehouse ecosystems.
• Lead architectural decision-making for cloud data platforms (e.g., Snowflake, Databricks) including compute/storage patterns, multi-environment strategies, security boundaries, and cost controls.
• Create technical roadmaps that align business outcomes with scalable data capabilities (analytics, operational reporting, AI/ML readiness).
• Own enterprise and domain data modeling standards (conceptual/logical/physical), including dimensional modeling, canonical models, and patterns for curated datasets.
• Ensure consistent definitions, metrics alignment, and high-quality, analytics-ready data products.
• Lead design and build of robust ELT/ETL pipelines using Python and distributed processing (Spark) as needed.
• Drive performance tuning and optimization across pipelines and data platforms (query patterns, clustering/partitioning, incremental loads, caching strategies).
• Establish engineering practices that improve reliability, maintainability, and developer productivity.
• Design and operationalize workflow orchestration using Apache Airflow, including DAG standards, scheduling patterns, dependency management, retries, SLAs, and backfills.
• Implement and manage Airflow runtime patterns in managed platforms such as Astronomer (or equivalent), including environment promotion strategies and operational readiness.
• Define and implement data quality frameworks (validation checks, anomaly detection, reconciliation, data contracts) and operational monitoring.
• Partner with governance/security stakeholders to ensure compliant data handling, access controls, lineage, metadata, and auditability.
• Lead/mentor engineers and architects through design reviews, code reviews, and architecture governance forums; raise the bar on engineering excellence.
• Translate complex technical concepts into clear guidance for stakeholders; drive alignment on tradeoffs, timelines, and expected outcomes.

Skills

Data architecture leadership

Python

SQL

Spark

Airflow

Snowflake

Databricks

Data modeling

Data governance

Cloud data platforms

Education

Bachelor’s degree in IT/CS or related field

Tools

Snowflake

Databricks

Apache Airflow

Astronomer

Spark

Terraform

Docker

Kubernetes

Job description

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

Job Description - Data Architect - Data Engineering Lead (2391605)

Data Architect - Data Engineering Lead - 2391605

We are seeking a Data Architect / Data Engineering Lead to own the end-to-end architecture and engineering standards for modern data platforms. This role partners closely with product, analytics, and engineering teams to design scalable, secure, and cost-effective data solutions - while remaining hands-on with implementation where it matters most. This position blends data architecture leadership (roadmaps, standards, patterns, governance) with data engineering execution (pipelines, modeling, orchestration, performance optimization), ensuring data is delivered reliably and with high quality.

Primary Responsibilities

• Define and evolve target-state data architecture, including reference architectures, integration patterns, and platform standards across warehouse/lakehouse ecosystems
• Lead architectural decision-making for cloud data platforms (e.g., Snowflake, Databricks) including compute/storage patterns, multi-environment strategies, security boundaries, and cost controls
• Create technical roadmaps that align business outcomes with scalable data capabilities (analytics, operational reporting, AI/ML readiness)
• Own enterprise and domain data modeling standards (conceptual/logical/physical), including dimensional modeling, canonical models, and patterns for curated datasets
• Ensure consistent definitions, metrics alignment, and high-quality, analytics-ready data products
• Lead design and build of robust ELT/ETL pipelines using Python and distributed processing (Spark) as needed
• Drive performance tuning and optimization across pipelines and data platforms (query patterns, clustering/partitioning, incremental loads, caching strategies)
• Establish engineering practices that improve reliability, maintainability, and developer productivity
• Design and operationalize workflow orchestration using Apache Airflow, including DAG standards, scheduling patterns, dependency management, retries, SLAs, and backfills
• Implement and manage Airflow runtime patterns in managed platforms such as Astronomer (or equivalent), including environment promotion strategies and operational readiness
• Define and implement data quality frameworks (validation checks, anomaly detection, reconciliation, data contracts) and operational monitoring
• Partner with governance/security stakeholders to ensure compliant data handling, access controls, lineage, metadata, and auditability
• Lead/mentor engineers and architects through design reviews, code reviews, and architecture governance forums; raise the bar on engineering excellence
• Translate complex technical concepts into clear guidance for stakeholders; drive alignment on tradeoffs, timelines, and expected outcomes

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

• 8+ years in data engineering and/or data architecture roles with demonstrated ownership of enterprise-scale data solutions
• 6+ years of data architecture experience: designing modern data platforms, integration patterns, and scalable data delivery approaches
• 3+ years of data modeling expertise (dimensional, normalized, canonical models; conceptual/logical/physical modeling)
• 3+ years of proficiency with Python and SQL; solid engineering discipline (testing, documentation, maintainability)
• 1+ years of experience with cloud data technologies including Snowflake and/or Databricks (Spark-based engineering)
• 1+ years of workflow orchestration experience with Apache Airflow; experience with managed Airflow platforms such as Astronomer
• 1+ years of experience implementing production-grade pipelines (batch and/or streaming), including CI/CD practices, environment promotion, and operational support

1+ years of experience leading technical direction, mentoring engineers, and influencing architecture decisions across teams

Preferred Qualifications

• Bachelor’s degree in Information Technology, Computer Science or related field
• dbt experience (modeling and transformation lifecycle management)
• Experience with Snowpark framwork
• Experience with data governance/metadata tools and practices (catalog, lineage, access policies)
• Observability tooling experience (pipeline monitoring, alerting, logging, operational dashboards)
• Infrastructure-as-code and containerization (Terraform, Docker, Kubernetes) in support of data platforms
• Experience supporting regulated data environments (e.g., healthcare/PII/PHI) and security-by-design patterns

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

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.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.

OptumCare 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.