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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect - **Company:** Fractal Analytics - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Frameworks, Architectural Patterns, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Patterns, DevOps, Machine Learning, Metadata, Online Analytical Processing, Online Transaction Processing, Role-Based Access Control, DataOps, Enterprise Data Management, Azure Data Factory, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Multi-Cloud, Git, Data Layers, Data Lakes, Pyspark, Health Level Seven International, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3fe3c3c98332bc48 ## About the Role Experience: 10+ Years Education: Bachelor's Degree (4-year) - Computer Science / Engineering / Related Field, * 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 ## Description 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, 1. Architecture & Solution Design * Define and implement end-to-end data architecture (ingestion to transformation to 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 2. Data Modeling & Domain Architecture * Define 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 3. Azure Databricks & Cloud Enablement * Architect 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 4. Governance, Security & Compliance * Define 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 5. Engineering & Platform Alignment * Work 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 6. Stakeholder & Business Engagement * Collaborate 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 ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)