Solution Architect

Fractal Analytics • New York, NY

1d • $150,000 - $170,000

About The Position

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
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

Requirements

• Strong experience in: Azure Databricks (Mandatory) – PySpark, Delta Lake
• Strong experience in: Cloud Architecture (Azure preferred)
• Deep expertise in: Data Architecture & Data Modeling (OLTP, OLAP, Dimensional)
• Deep expertise in: Lakehouse / Data Warehouse design patterns
• Hands-on experience with: ETL/ELT pipelines and orchestration frameworks
• Hands-on experience with: CI/CD and DevOps practices (Azure DevOps, Git)
• Hands-on experience with: Metadata, lineage, and governance tools (Unity Catalog, Purview)

Nice To Haves

• Experience with: AI/ML data architectures (feature stores, model pipelines)
• Experience with: Multi-cloud environments (Azure + GCP/Snowflake)
• Strong understanding of: Medallion architecture (Bronze–Silver–Gold)
• US Healthcare ecosystem: Claims, Member, Provider datasets
• Familiarity with: FHIR / HL7 / EMR data models
• Familiarity with: Payment Integrity / Risk Adjustment use cases

Responsibilities

• 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
• 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
• 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
• Define and enforce: Data governance frameworks (lineage, quality, metadata)
• Define and enforce: Access control, RBAC, and data security policies
• Ensure compliance with: HIPAA, HITRUST, and enterprise regulatory standards
• Establish data quality SLAs and auditability mechanisms
• 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
• 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

Benefits

• health insurance
• dental insurance
• vision insurance
• life insurance
• disability plans
• 401(k) Plan
• 11 paid holidays
• 12 weeks of Parental Leave
• “free time” PTO policy

What This Job Offers

• Job Type: Full-time
• Career Level: Senior