100% Remote // Azure Databricks Solution Architect

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