Solution Architect � (Azure Databricks)

Position: Solution Architect - (Azure Databricks) Location: Remote Type: Fulltime Job Description Role Summary We 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 cases Key Responsibilities 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 patterns Align architecture with performance, scalability, security, and cost optimization goals Data Modeling & Domain ArchitectureDefine canonical data models, dimensional schemas, and semantic layers Architect enterprise data across domains: Claims, Member, Provider, Eligibility Ensure data consistency, interoperability, and reuse across teams 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 practices Enable multi-cloud integrations when required Governance, Security & ComplianceDefine and enforce: Data governance frameworks (lineage, quality, metadata) Access control, RBAC, and data security policies Ensure compliance with: HIPAA, HITRUST, and enterprise regulatory standards Establish data quality SLAs and auditability mechanisms Engineering & Platform AlignmentWork closely with: Data Engineering teams Platform Engineering teams AI/ML Engineering teams Provide architectural oversight for pipelines, workflows, and platform capabilities Drive standardization across CI/CD, DataOps, and MLOps practices Stakeholder & Business EngagementCollaborate with business, product, and analytics teams to: Translate requirements into scalable technical solutions Lead architecture reviews, design approvals, and governance forums (ARB) Communicate architecture decisions and trade-offs to leadership Required Skills Strong experience in: Azure Databricks (Mandatory) - PySpark, Delta Lake Cloud Architecture (Azure preferred) Deep expertise in: Data Architecture & Data Modeling (OLTP, OLAP, Dimensional) Lakehouse / Data Warehouse design patterns Hands-on experience with: ETL/ELT pipelines and orchestration frameworks CI/CD and DevOps practices (Azure DevOps, Git) Metadata, lineage, and governance tools (Unity Catalog, Purview) Preferred Skills Experience 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 datasets Familiarity with: FHIR / HL7 / EMR data models Payment Integrity / Risk Adjustment use cases