Solution Architect

Role Overview 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. Key Responsibilities Architecture & Solution Design – Define and implement end‑to‑end data architecture from ingestion to transformation to consumption; design scalable Lakehouse architectures, develop reference architectures and design patterns; align architecture with performance, scalability, security, and cost‑optimization goals. Data Modeling & Domain Architecture – Define canonical data models, dimensional schemas, and semantic layers; architect enterprise data across domains such as Claims, Member, Provider, and Eligibility, ensuring data consistency and interoperability. Azure Databricks & Cloud Enablement – Architect solutions using Azure Databricks (mandatory) and 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 & Compliance – Define and enforce data governance frameworks, 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 Alignment – Work closely with Data Engineering, Platform Engineering, and AI/ML Engineering teams; provide architectural oversight for pipelines, workflows, and platform capabilities; drive standardization across CI/CD, DataOps, and MLOps practices. Stakeholder & Business Engagement – Collaborate with business, product, and analytics teams; translate requirements into scalable technical solutions; lead architecture reviews, design approvals, and governance forums; communicate architecture decisions and trade‑offs to leadership. Required Skills Azure Databricks (PySpark, Delta Lake, mandatory) Cloud architecture in Azure (preferred) Data architecture & data modeling (OLTP, OLAP, dimensional) Lakehouse/Data Warehouse design patterns ETL/ELT pipelines and orchestration frameworks CI/CD and DevOps practices (Azure DevOps, Git) Metadata, lineage, and governance tools (Unity Catalog, Purview) Preferred Skills AI/ML data architectures (feature stores, model pipelines) Multi‑cloud environments (Azure + GCP/Snowflake) Strong understanding of medallion architecture (Bronze–Silver–Gold) Domain experience in US Healthcare: Claims, Member, Provider datasets Familiarity with FHIR/HL7/EMR data models, payment integrity/risk adjustment use cases Pay Estimated salary range: $150,000 - $170,000. A discretionary bonus may also be available. Benefits Full‑time employees are eligible for health, dental, vision, life insurance, and disability plans with no later than the first day of employment. Employees may participate in the Company 401(k) plan after 30 days. The Company provides 11 paid holidays, 12 weeks of parental leave, and a flexible PTO policy for sick time or vacation. Equal Opportunity Employer Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #J-18808-Ljbffr Fractal Analytics Inc