Job Title: Solution Architect
Work Location: Remote
Duration :: Long Term Contract
NOTE :: Interviews must occur at one of the following locations: San Francisco, CA/ Arlington, VA/Denver, CO/ Chicago, IL/ Boston, MA/ NYC,NY/ Houston, TX/ Miami, FL/ Los Angeles, CA/Seattle, WA/ Dallas, TX/Minneapolis, Minn/Birmingham, MI or Irvine, CA.
Must have ::
Experience: 10+ Years
Education: Bachelor s Degree (4-year) Computer Science / Engineering / Related Field
Domain: US Healthcare (Preferred)
Role Summary :
- We are seeking a Solution Architect (Contractor) 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 Design
- 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
- Data Modeling & Domain Architecture
- Define canonical data models, dimensional schemas, and semantic layers
- Architect enterprise data across domains:
- o Claims, Member, Provider, Eligibility
- Ensure data consistency, interoperability, and reuse across teams
- 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
- 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
- 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
- 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
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)
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