Principal Data Architect
About The Position
SynergenX is a rapidly scaling, multi-state healthcare organization focused on hormone optimization, wellness, and patient-centered care. As we continue to grow, we are making a significant investment in modernizing our enterprise data ecosystem. We are looking for a Principal Data Architect who is not just a strategist, but a builder and leader. This is a hands-on, high-visibility role where you will define, architect, and execute the future of our data platform. This role requires onsite presence for the first 30–60 days with no exceptions. This is critical for alignment, team integration, and execution. Hybrid flexibility may be considered after 60 days based on performance and business needs. This is not a maintenance role. This is a ground-floor opportunity to architect a modern, scalable Azure-based data platform, eliminate inefficiencies and legacy reporting limitations, directly influence executive decision-making through data, and build and mentor a high-performing data team. If you want ownership, visibility, and the ability to make a real impact, this is it.
Requirements
- 8+ years in Data Architecture progressive by nature
- Hands-on experience with Microsoft Azure data ecosystem
- Hands-on experience with Databricks / Spark
- Hands-on experience with Power BI (semantic models, governance)
- Strong expertise in Data modeling (Star Schema, Snowflake, Lakehouse)
- Strong expertise in SQL, Python, PySpark
- Proven leadership and ability to influence technical teams
- Strong business acumen and ability to align architecture with company goals
- Must be fluent in English (both written and spoken) to perform essential job functions, including documentation, stakeholder communication, and cross-functional collaboration.
- Must be authorized to work in the U.S. without current or future sponsorship.
Nice To Haves
- Healthcare or regulated industry experience (HIPAA)
- Experience supporting M&A or multi-entity data integration
- Experience with Azure tools such as Data Factory, Synapse, or Fabric
- Exposure to real-time data pipelines or machine learning workflows
- Relevant certifications (Azure, Databricks)
Responsibilities
- Define and execute the enterprise data architecture roadmap
- Build scalable data models across clinical, financial, and operational domains
- Align data strategy with growth, M&A, and multi-state expansion
- Design and standardize lakehouse and warehouse architecture
- Establish patterns for ingestion, transformation, and data delivery
- Optimize performance, scalability, and cost
- Act as the highest authority on data architecture decisions
- Lead and mentor Data Engineers, BI Developers, and Analytics teams
- Review and approve pipelines, models, and reporting frameworks
- Eliminate technical debt and redundant systems
- Automate manual processes and reporting inefficiencies
- 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 in reporting
Benefits
- Comprehensive medical, dental, and vision coverage after 60 days with dependent coverage
- 401(k) with company match
- Paid time off with annual increases
- 6 company holidays
- Employee wellness programs, including hormone therapy and weight management benefits
- Full life insurance policy at no cost
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
