{"id":4139051,"url":"https://alion.io/job/unitedhealth-group-databricks-architect","title":"Databricks Architect","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":162,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Erwin","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"Oracle ERP","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-12T04:43:30Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T04:43:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.\nThe Data Architect is responsible for designing end-to-end Financial Data Mart from source ingestion and bronze-layer structures through silver-layer transformation and gold-layer business-ready data products for Optum Insight\nThis role provides hands-on architecture leadership across complex, multi-source data environments and establishes the data models, integration patterns, transformation logic, and SQL designs that Data Engineering teams implement.\nThe ideal candidate combines deep expertise in modern cloud data architecture with the ability to set technical direction, collaborate with engineering and business stakeholders, and translate complex Finance and business requirements into scalable, reusable data products.\nPrimary Responsibilities:\nOwn the end-to-end architecture and design of enterprise data products, spanning ingestion, transformation, integration, modeling, and consumption\nDesign data solutions across bronze, silver, and gold layers using modern medallion and lakehouse architecture principles\nDefine how data from multiple source systems and tables is joined, transformed, standardized, and curated into business-ready data products\nDevelop detailed logical and physical data models, source-to-target mappings, transformation rules, integration patterns, and complex SQL designs for Data Engineers to implement\nPartner closely with Data Engineers while maintaining clear accountability for what and how the data product should be architected\nEvaluate source-system structures, data relationships, grain, keys, dependencies, data quality requirements, and transformation complexity when developing architecture\nApply the appropriate modeling technique based on business problems rather than relying on a prescriptive modeling methodology such as star schema\nDesign scalable solutions on Databricks and Azure, or comparable modern cloud data platforms considered relevant\nEstablish reusable architecture and data-modeling patterns that improve consistency, scalability, maintainability, and engineering velocity across data products\nPerform architecture and design reviews and provide technical guidance to Data Engineering teams\nWork with Product, Finance, Analytics, Engineering, and business stakeholders to translate business requirements into implementable data-product designs\nIdentify architecture risks, data dependencies, integration challenges, and performance considerations early in the product lifecycle\nServe as a senior technical leader capable of driving architecture decisions and resolving complex design issues across teams\nComply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements\nRequired Qualifications:\nBachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent relevant professional experience\n10+ years of experience in data architecture, data engineering, data modeling, data warehousing, business intelligence, or related enterprise data disciplines\n5+ years of hands-on experience in data architecture and data modeling, including responsibility for designing solutions implemented by Data Engineering teams\nSolid experience designing end-to-end data products, from source ingestion through curated, consumption-ready data layers\nExperience architecting cloud data solutions on Microsoft Azure\nExperience working with large, complex enterprise datasets and integrating data across multiple operational systems\nDeep understanding of medallion architecture, including bronze, silver, and gold data layers\nSolid understanding of data modeling concepts, including relational, dimensional, normalized, denormalized, and domain-oriented approaches\nSolid understanding of ELT/ETL patterns, data pipelines, data quality, lineage, metadata, and data governance\nAdvanced proficiency in SQL, including complex joins, transformations, aggregations, reconciliation, and multi-source data integration\nDemonstrated ability to design data solutions using Databricks; solid experience with Databricks or equivalent modern data platforms may also be considered\nDemonstrated ability to provide technical direction and design guidance to Data Engineers and other senior technical contributors\nDemonstrated excellent written and verbal communication skills with the ability to explain complex data architecture concepts to technical and non-technical stakeholders\nRequired Software & Technical Tools\nThe successful candidate should have solid hands-on architecture and design experience with modern enterprise data platforms and technologies, including:\nCloud & Data PlatformsDatabricks: solid experience with Lakehouse architecture, Delta Lake, medallion architecture, Unity Catalog, and scalable data-product design\nMicrosoft Azure: Experience architecting enterprise data solutions using Azure services\nAzure Data Lake Storage (ADLS Gen2): Experience designing cloud data-lake storage structures and ingestion patterns\nAzure Data Factory and/or equivalent orchestration technologies\nExperience with Apache Spark / PySpark concepts and distributed data processing\n\nPreferred Qualifications:\nExperience designing data products supporting Finance, Accounting, Billing, Financial Reporting, or Financial Operations\nHealthcare industry experience is beneficial but not required\nExperience operating in large, highly regulated enterprise environments\nExperience with data governance, lineage, data quality, security, and enterprise architecture standards\nUnderstanding of enterprise financial data, including concepts such as general ledger, revenue, billing, accounts receivable/payable, financial hierarchies, or financial reporting\nLeadership Expectations\nThis is a high technical-leadership role. The Data Architect is expected to set architecture direction rather than simply review designs produced by others.\nThe role should be comfortable moving between detailed data design and senior-level technical discussions, including reviewing SQL and data models, resolving cross-system integration decisions, guiding Data Engineers, and communicating architecture trade-offs to Product, Engineering, Finance, and business leaders.\nData Architecture & Modeling\nAdvanced SQL skills, including complex joins, CTEs, window functions, transformations, aggregations, reconciliation logic, and performance considerations\nSolid knowledge of bronze, silver, and gold medallion architecture\nData modeling across relational, dimensional, normalized, denormalized, and domain-oriented models\nAbility to define logical and physical data models, data-product structures, source-to-target mappings, data contracts, transformation rules, and integration patterns\nExperience designing solutions involving multiple source systems, complex relationships, large data volumes, and historical data\nFamiliarity with data modeling tools such as ER/Studio, ERwin, Lucidchart, Visio, or equivalent\nEngineering & DevOps\nWorking knowledge of Git and modern source-control practices\nFamiliarity with Azure DevOps and/or GitHub for version control, CI/CD, deployment, and engineering collaboration\nUnderstanding of Infrastructure-as-Code, automated deployments, and DataOps/DevOps practices is preferred\nAbility to review and provide architecture guidance on SQL, notebooks, data pipelines, and engineering implementation\nData Governance & Quality\nUnderstanding of metadata management, data lineage, data catalogs, data classification, access controls, and data-quality frameworks\nExperience with Databricks Unity Catalog, Microsoft Purview, or comparable governance/catalog platforms preferred\nUnderstanding of data privacy, security, retention, and regulatory requirements within large enterprise environments\nDomain Knowledge\nFinance domain experience\nCandidates should ideally demonstrate experience designing enterprise data products supporting one or more of the following areas:General Ledger and financial accounting\nRevenue and revenue recognition\nBilling and Accounts Receivable\nAccounts Payable\nFinancial Planning & Analysis (FP&A)\nFinancial reporting and management reporting\nCost and profitability analysis\nFinancial close and reconciliation\nChart of Accounts and financial hierarchies\nCustomer, vendor, contract, and product master data\nTransactional and financial master/reference data\n\nExperience integrating financial data from platforms such as SAP S/4HANA, SAP ECC, Oracle ERP/eBusiness Suite, PeopleSoft, or comparable enterprise financial platforms is highly desirable\nHealthcare industry knowledge is a plus, particularly experience with healthcare financial, billing, claims, provider, member, clinical, or operational data\nLeadership & Communication Skills\nThis role requires significant technical leadership, with responsibility for setting design direction for Data Engineers and influencing architecture decisions across teams.\nThe successful candidate will:\nOwn architecture decisions for complex enterprise data products from ingestion through business consumption\nProvide clear technical direction to senior Data Engineers, developers, analysts, and other architects\nLead architecture and design reviews and ensure engineering implementations align with approved designs\nServe as the technical authority for complex data-modeling, integration, transformation, and architecture decisions\nTranslate complex Finance and business requirements into scalable technical data designs\nCommunicate architecture decisions, alternatives, risks, dependencies, and trade-offs effectively to both technical and executive stakeholders\nInfluence across Product, Engineering, Analytics, Finance, Architecture, Security, and Data Governance organizations\nFacilitate technical discussions and drive teams toward decisions when multiple design approaches are available\nChallenge designs constructively and establish reusable architecture patterns rather than creating one-off solutions\nMentor senior engineers and architects and help raise the organization's overall data architecture maturity\nBalance strategic architecture thinking with sufficient hands-on technical depth to examine SQL, data models, source structures, and transformation logic\nOperate effectively in a matrixed enterprise environment with multiple business and technology stakeholders\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. 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