Note: The job is a remote job and is open to candidates in USA. Fractal Analytics is a strategic AI partner to Fortune 500 companies, aiming to empower human decisions in enterprises. They are seeking a Solution Architect to design and drive enterprise-scale data engineering architectures on Azure Databricks, focusing on defining end-to-end data solutions and ensuring standardized, scalable, and governed data ecosystems across various domains.
Responsibilities
- Define 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
- 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), 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
Skills
- 10+ Years of Experience
- Bachelor's Degree (4-year) – Computer Science / Engineering / Related Field
- US Healthcare Domain (Preferred)
- 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)
- 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
Benefits
- Eligible for a discretionary bonus for the current performance period
- Eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time
- Eligible for benefits on the first day of employment with the Company
- Eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms
- 11 paid holidays
- 12 weeks of Parental Leave
- “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation
Company Overview