Data Architect / Data Engineering Lead

Explore opportunities with Logistics Health Incorporated (LHI) , part of the Optum family of business. We're dedicated to simplifying the logistics of complex workforce health programs with cost-effective solutions and a seamless distribution process. With offices in La Crosse, Wis., a satellite office in Chicago and remote employees throughout the country, we have a variety of rewarding career opportunities for you.

Elevate your career as you help us create a healthier tomorrow for everyone and discover the meaning behind Caring. Connecting. Growing together.

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

Data Architecture & Platform Design 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).

Data Modeling & Information Design 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. Data Engineering Delivery (Hands-on Leadership) 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. Orchestration & Workflow Management (Airflow / Astronomer) 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 Data Quality, Observability, and Governance 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 Leadership, Mentorship & Stakeholder Partnership 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

8+ years in data engineering and/or data architecture roles with demonstrated ownership of enterprise-scale data solutions Expert-level data architecture

designing modern data platforms, integration patterns, and scalable data delivery approaches Solid data modeling expertise (dimensional, normalized, canonical models; conceptual/logical/physical modeling) Advanced proficiency with Python and SQL; strong engineering discipline (testing, documentation, maintainability) Proven experience with cloud data technologies including Snowflake and/or Databricks (Spark-based engineering) Solid workflow orchestration experience with Apache Airflow; experience with managed Airflow platforms such as Astronomer Experience implementing production-grade pipelines (batch and/or streaming), including CI/CD practices, environment promotion, and operational support Demonstrated ability to lead technical direction, mentor engineers, and influence architecture decisions across teams If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

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 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.