{"id":1754349,"url":"https://alion.io/job/unitedhealth-group-data-architect-data-engineering-lead","title":"Data Architect - Data Engineering Lead","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":95,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":112700,"max":193200,"currency":"USD","period":"year","gross":null,"usd_annual":193200},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-25T04:42:46Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"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.\nPrimary Responsibilities:\nDefine and evolve target-state data architecture, including reference architectures, integration patterns, and platform standards across warehouse/lakehouse ecosystems\nLead architectural decision-making for cloud data platforms (e.g., Snowflake, Databricks) including compute/storage patterns, multi-environment strategies, security boundaries, and cost controls\nCreate technical roadmaps that align business outcomes with scalable data capabilities (analytics, operational reporting, AI/ML readiness)\nOwn enterprise and domain data modeling standards (conceptual/logical/physical), including dimensional modeling, canonical models, and patterns for curated datasets\nEnsure consistent definitions, metrics alignment, and high-quality, analytics-ready data products\nLead design and build of robust ELT/ETL pipelines using Python and distributed processing (Spark) as needed\nDrive performance tuning and optimization across pipelines and data platforms (query patterns, clustering/partitioning, incremental loads, caching strategies)\nEstablish engineering practices that improve reliability, maintainability, and developer productivity\nDesign and operationalize workflow orchestration using Apache Airflow, including DAG standards, scheduling patterns, dependency management, retries, SLAs, and backfills\nImplement and manage Airflow runtime patterns in managed platforms such as Astronomer (or equivalent), including environment promotion strategies and operational readiness\nDefine and implement data quality frameworks (validation checks, anomaly detection, reconciliation, data contracts) and operational monitoring\nPartner with governance/security stakeholders to ensure compliant data handling, access controls, lineage, metadata, and auditability\nLead/mentor engineers and architects through design reviews, code reviews, and architecture governance forums; raise the bar on engineering excellence\nTranslate complex technical concepts into clear guidance for stakeholders; drive alignment on tradeoffs, timelines, and expected outcomes\nYou'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.\nRequired Qualifications:\n8+ years in data engineering and/or data architecture roles with demonstrated ownership of enterprise-scale data solutions\n6+ years of data architecture experience: designing modern data platforms, integration patterns, and scalable data delivery approaches\n3+ years of data modeling expertise (dimensional, normalized, canonical models; conceptual/logical/physical modeling)\n3+ years of proficiency with Python and SQL; solid engineering discipline (testing, documentation, maintainability)\n1+ years of experience with cloud data technologies including Snowflake and/or Databricks (Spark-based engineering)\n1+ years of workflow orchestration experience with Apache Airflow; experience with managed Airflow platforms such as Astronomer\n1+ years of experience implementing production-grade pipelines (batch and/or streaming), including CI/CD practices, environment promotion, and operational support\n1+ years of experience leading technical direction, mentoring engineers, and influencing architecture decisions across teams\n\nPreferred Qualifications:\nBachelor's degree in Information Technology, Computer Science or related field\ndbt experience (modeling and transformation lifecycle management)\nExperience with Snowpark framwork\nExperience with data governance/metadata tools and practices (catalog, lineage, access policies)\nObservability tooling experience (pipeline monitoring, alerting, logging, operational dashboards)\nInfrastructure-as-code and containerization (Terraform, Docker, Kubernetes) in support of data platforms\nExperience supporting regulated data environments (e.g., healthcare/PII/PHI) and security-by-design patterns\n*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy\nPay 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.\nApplication 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.\nAt 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.\nUnitedHealth 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.\nOptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment","description_format":"text","description_chars":6661,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":1,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Hospitals & Health Systems","Pharmacies"],"lifecycle":[{"event":"open","at":"2026-10-03T10:09:01Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.517,"p_room":0.55,"age_days":26,"expected_fill_days":19,"reasons":["conf:1","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":193200,"is_top_pay":true},"html_url":"https://alion.io/job/unitedhealth-group-data-architect-data-engineering-lead","json_url":"https://alion.io/job/unitedhealth-group-data-architect-data-engineering-lead.json","meta":{"generated_at":"2026-10-25T07:48:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11009,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1043512},"rest":"https://alion.io/mcp/rest/get_company?id=1043512"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funitedhealth-group-data-architect-data-engineering-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Funitedhealth-group-data-architect-data-engineering-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Funitedhealth-group-data-architect-data-engineering-lead"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/unitedhealth-group-data-architect-data-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funitedhealth-group-data-architect-data-engineering-lead"}]}