{"schemaVersion":"jobsearcher.job.v1","id":"eb4dbe371ad948847fbac129","url":"https://jobsearcher.com/jobs/eb4dbe371ad948847fbac129","canonicalUrl":"https://jobsearcher.com/jobs/eb4dbe371ad948847fbac129","title":"100% Remote // Azure Databricks Solution Architect","description":"100% RemoteAzure Databricks Solution Architect Full timeRole SummaryWe are seeking a Solution Architect to design and drive enterprise-scale data engineering architectures on Azure Databricks and cloud platforms. This role will define end-to-end data solutions, architecture patterns, and engineering standards to support analytics, AI/ML, and operational use cases.The ideal candidate will combine deep technical expertise with strong business alignment, enabling scalable, secure, and high-performing data platforms.Solution architecture is critical to ensuring standardized, scalable, and governed data ecosystems across domains and use casesKey Responsibilities1. Architecture & Solution DesignDefine and implement end-to-end data architecture (ingestion → transformation → consumption)Design scalable Lakehouse architectures (Databricks, Delta Lake)Develop reference architectures, reusable frameworks, and design patternsAlign architecture with performance, scalability, security, and cost optimization goals2. Data Modeling & Domain ArchitectureDefine canonical data models, dimensional schemas, and semantic layersArchitect enterprise data across domains:Claims, Member, Provider, EligibilityEnsure data consistency, interoperability, and reuse across teams3. Azure Databricks & Cloud EnablementArchitect solutions using:Azure Databricks (Mandatory)Azure Data Services (ADF, ADLS, Synapse)Guide engineering teams on:Spark optimization, Delta Lake design, and data pipeline best practicesEnable multi-cloud integrations when required4. Governance, Security & ComplianceDefine and enforce:Data governance frameworks (lineage, quality, metadata)Access control, RBAC, and data security policiesEnsure compliance with:HIPAA, HITRUST, and enterprise regulatory standardsEstablish data quality SLAs and auditability mechanisms5. Engineering & Platform AlignmentWork closely with:Data Engineering teamsPlatform Engineering teamsAI/ML Engineering teamsProvide architectural oversight for pipelines, workflows, and platform capabilitiesDrive standardization across CI/CD, DataOps, and MLOps practices6. Stakeholder & Business EngagementCollaborate with business, product, and analytics teams to:Translate requirements into scalable technical solutionsLead architecture reviews, design approvals, and governance forums (ARB)Communicate architecture decisions and trade-offs to leadershipRequired SkillsStrong experience in:Azure Databricks (Mandatory) – PySpark, Delta LakeCloud Architecture (Azure preferred)Deep expertise in:Data Architecture & Data Modeling (OLTP, OLAP, Dimensional)Lakehouse / Data Warehouse design patternsHands-on experience with:ETL/ELT pipelines and orchestration frameworksCI/CD and DevOps practices (Azure DevOps, Git)Metadata, lineage, and governance tools (Unity Catalog, Purview)Preferred SkillsExperience with:AI/ML data architectures (feature stores, model pipelines)Multi-cloud environments (Azure + GCP/Snowflake)Strong understanding of:Medallion architecture (Bronze–Silver–Gold)Domain Experience (Good to Have)US Healthcare ecosystem:Claims, Member, Provider datasetsFamiliarity with:FHIR / HL7 / EMR data modelsPayment Integrity / Risk Adjustment use cases","company":"Talent Groups","rawCompany":"talent groups","isRemote":true,"isActive":false,"createdAt":"2026-07-19T12:47:04.861Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"100% Remote // Azure Databricks Solution Architect","description":"100% RemoteAzure Databricks Solution Architect Full timeRole SummaryWe are seeking a Solution Architect to design and drive enterprise-scale data engineering architectures on Azure Databricks and cloud platforms. This role will define end-to-end data solutions, architecture patterns, and engineering standards to support analytics, AI/ML, and operational use cases.The ideal candidate will combine deep technical expertise with strong business alignment, enabling scalable, secure, and high-performing data platforms.Solution architecture is critical to ensuring standardized, scalable, and governed data ecosystems across domains and use casesKey Responsibilities1. Architecture & Solution DesignDefine and implement end-to-end data architecture (ingestion → transformation → consumption)Design scalable Lakehouse architectures (Databricks, Delta Lake)Develop reference architectures, reusable frameworks, and design patternsAlign architecture with performance, scalability, security, and cost optimization goals2. Data Modeling & Domain ArchitectureDefine canonical data models, dimensional schemas, and semantic layersArchitect enterprise data across domains:Claims, Member, Provider, EligibilityEnsure data consistency, interoperability, and reuse across teams3. Azure Databricks & Cloud EnablementArchitect solutions using:Azure Databricks (Mandatory)Azure Data Services (ADF, ADLS, Synapse)Guide engineering teams on:Spark optimization, Delta Lake design, and data pipeline best practicesEnable multi-cloud integrations when required4. Governance, Security & ComplianceDefine and enforce:Data governance frameworks (lineage, quality, metadata)Access control, RBAC, and data security policiesEnsure compliance with:HIPAA, HITRUST, and enterprise regulatory standardsEstablish data quality SLAs and auditability mechanisms5. Engineering & Platform AlignmentWork closely with:Data Engineering teamsPlatform Engineering teamsAI/ML Engineering teamsProvide architectural oversight for pipelines, workflows, and platform capabilitiesDrive standardization across CI/CD, DataOps, and MLOps practices6. Stakeholder & Business EngagementCollaborate with business, product, and analytics teams to:Translate requirements into scalable technical solutionsLead architecture reviews, design approvals, and governance forums (ARB)Communicate architecture decisions and trade-offs to leadershipRequired SkillsStrong experience in:Azure Databricks (Mandatory) – PySpark, Delta LakeCloud Architecture (Azure preferred)Deep expertise in:Data Architecture & Data Modeling (OLTP, OLAP, Dimensional)Lakehouse / Data Warehouse design patternsHands-on experience with:ETL/ELT pipelines and orchestration frameworksCI/CD and DevOps practices (Azure DevOps, Git)Metadata, lineage, and governance tools (Unity Catalog, Purview)Preferred SkillsExperience with:AI/ML data architectures (feature stores, model pipelines)Multi-cloud environments (Azure + GCP/Snowflake)Strong understanding of:Medallion architecture (Bronze–Silver–Gold)Domain Experience (Good to Have)US Healthcare ecosystem:Claims, Member, Provider datasetsFamiliarity with:FHIR / HL7 / EMR data modelsPayment Integrity / Risk Adjustment use cases","datePosted":"2026-07-19T12:47:04.861Z","dateModified":"2026-07-19T12:47:04.861Z","hiringOrganization":{"@type":"Organization","name":"Talent Groups","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eb4dbe371ad948847fbac129"},"url":"https://jobsearcher.com/jobs/eb4dbe371ad948847fbac129"}}