Job Description
Job DescriptionPosition Summary
Stratum Medical is hiring a Senior Data Solutions Architect into the newly formed Data Services Organization (DSO); a strategic initiative to centralize data and analytics across our multi-specialty MSO.
We’re looking for a versatile, hands-on expert with a rare combination of skills: someone who can build data pipelines, develop scalable analytics products, understand healthcare nuances, and serve as a thought partner to the CDO. This role is ideal for someone who thrives in ambiguity, wears multiple hats, and wants to build the foundation of a modern healthcare data platform from the ground up.
You’ll work side-by-side with the CDO on everything from cloud architecture to BI dashboards to advanced analytics; with immediate, measurable impact across care quality, financial performance, and population health.
Key Responsibilities
Data Architecture & Engineering
- Build and optimize Redshift-based pipelines integrating EHR, PM, claims, and value-based care data
- Maintain robust data models, primary keys, lineage, and documentation using dbt and Git-based workflows
- Design reusable, performant views for downstream analytics and self-service tools
Analytics & Decision Support
- Develop clinical, financial, and operational metrics for use in dashboards and executive reporting
- Collaborate with front-line stakeholders to translate complex questions into scalable data products
- Build prototypes of dashboards and exploratory tools in BI platforms like Sigma or Looker
Product & Strategy Enablement
- Help define data product roadmaps aligned with DSO’s goals
- Contribute to scalable frameworks for patient attribution, benchmarking, HCC scoring, and more
- Operate as a cross-functional expert, blending technical execution with deep healthcare domain knowledge
Team Growth & Leadership
- Serve as a technical mentor as the DSO team scales
- Contribute to standards around testing, documentation, code review, and agile delivery
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics or related field required
- Master’s Degree preferred
- 8+ years of experience in healthcare data, analytics engineering, or data science
- Proven ability to build end-to-end data solutions in modern cloud environments (AWS preferred)
- Advanced SQL skills with expertise in data modeling, performance tuning, and ETL orchestration
- Strong fluency in healthcare domains: EHR, PM, payer/claims, and value-based care models
- Experience using dbt, Redshift, Git, and BI tools such as Sigma, Looker, or Tableau
- Exceptional problem-solving skills and the ability to work independently in high-ambiguity settings
Core Competencies
- Strong technical fluency across data modeling, pipeline development, and analytics delivery
- Deep domain expertise in healthcare data, including EHR, claims, and value-based care models
- High level of ownership and execution in ambiguous, fast-paced environments
- Clear communicator and collaborative problem-solver across technical and non-technical teams
- Product-oriented mindset with a focus on building scalable, intuitive data solutions
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