Principal Data Architect 3
About The Position
SynergenX / Low T Center is a rapidly expanding, data-driven healthcare organization focused on hormone optimization, wellness, and patient-centered care across multiple states. As we scale, we are investing heavily in modernizing our enterprise data ecosystem to support clinical, operational, and strategic decision-making. We are seeking a Principal Data Architect to serve as the enterprise authority for data architecture, governance, and platform modernization. This is a high-impact, hands-on leadership role where you will: Define the future of our Azure-based data platform Architect scalable solutions across clinical, financial, and operational data Act as a player-coach, mentoring engineers while driving complex implementations This is NOT a passive architecture role — we need someone who builds, leads, and executes.
Requirements
- 7+ years in Data Architecture / Data Engineering
- Strong hands-on experience with: Microsoft Azure data ecosystem Databricks / Spark Power BI (semantic models, governance)
- Deep expertise in: Data modeling (Star Schema, Snowflake, Lakehouse) SQL, Python, PySpark
- Experience leading or influencing engineering teams
- Proven ability to align technical solutions to business strategy
Nice To Haves
- Healthcare or regulated industry experience (HIPAA)
- Experience supporting M&A or multi-entity data integration
- Azure tools: Data Factory, Synapse, Fabric
- Exposure to real-time data or ML pipelines
- Relevant certifications (Azure, Databricks)
Responsibilities
- Define and execute the enterprise data architecture roadmap
- Build scalable data models across healthcare and business domains
- Align data architecture with growth, M&A, and multi-state expansion
- Design and standardize lakehouse + warehouse architecture
- Establish patterns for ingestion, transformation, and data serving
- Optimize performance, scalability, and cost
- Serve as the highest authority for data design decisions
- Guide Data Engineers, BI Developers, and Analytics teams
- Review and approve pipelines, models, and reporting frameworks
- Eliminate technical debt and redundant systems
- Replace manual/reporting inefficiencies with automated solutions
- Implement CI/CD, version control, and documentation standards
- Establish enterprise data governance frameworks
- Ensure HIPAA-compliant architecture and data handling
- Improve data lineage, auditability, and trust
Benefits
- Direct impact on enterprise-wide data strategy
- High-growth healthcare organization
- Opportunity to build a modern data platform from the ground up
- Executive visibility and influence
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
