Enterprise Data Architect – Healthcare Data Platform (Snowflake)

ChenMed•Miami Gardens, FL

39d•Hybrid

About The Position

The Enterprise Data Architect is responsible for defining, governing, and evolving the architectural standards of the organization’s Snowflake-based healthcare data platform. This role establishes the technical foundation that ensures scalability, performance, auditability, and trust across enterprise data domains including Finance, Growth, Care, and Talent. This is a strategic technical leadership role focused on long-term platform reliability, AI-readiness, regulatory compliance, and enterprise-wide data consistency. The architect partners closely with Data Engineering, Analytics, Governance, and Application teams to ensure the platform can support operational reporting, advanced analytics, and AI-driven use cases.

Requirements

8+ years of experience in data architecture, data engineering, or platform architecture roles
Deep hands-on experience with Snowflake or comparable modern cloud data platforms, including performance tuning and cost optimization
Strong expertise in dimensional modeling and enterprise data modeling, preferably within healthcare or regulated data environments
Demonstrated experience designing data contracts, interface standards, and SLA frameworks across multiple source systems
Strong understanding of healthcare data domains, such as clinical, claims, membership, financial, or regulatory datasets
Proven ability to influence and align cross-functional stakeholders, including Engineering, Analytics, Governance, and business leadership
Excellent communication skills, with the ability to explain complex architectural concepts to both technical and non-technical audiences
BA/BS degree in Computer Science, Information Technology, Information Systems, Computer or Software Engineering or a related field OR additional experience above the minimum will be considered in lieu of the required education on a year-for-year basis required
A minimum of 8 years of IT-related work experience required

Responsibilities

Define and govern enterprise data architecture standards across bronze, silver, and gold layers, ensuring consistent design patterns, separation of concerns, and scalability across domains
Establish and maintain modeling frameworks, including dimensional models, canonical data models, and point-in-time snapshot strategies to support analytics, regulatory reporting, and machine learning
Design and formalize data contract standards for upstream and downstream systems (e.g., EMR, payors, CMS, clearinghouses), including schema expectations, change management, and validation rules
Define data freshness, SLA, and performance patterns, balancing latency, cost, and reliability for operational, analytical, and executive reporting workloads
Partner with Data Engineering and Data Governance to embed data quality controls, reconciliation checks, lineage, and auditability directly into ingestion and transformation pipelines
Lead Snowflake performance optimization and scalability design, including warehouse strategy, clustering, partitioning, and cost-aware architecture patterns
Provide architectural oversight and design review for high-impact initiatives, ensuring alignment with enterprise standards, long-term roadmap, and AI/ML readiness
Guide AI-ready data architecture by ensuring high-quality features, consistent snapshots, and governed datasets suitable for advanced analytics and LLM-enabled workflows
Mentor and coach engineering teams on architectural best practices, modeling techniques, and design tradeoffs, raising the overall technical maturity of the organization
Act as a trusted technical advisor to senior leaders, translating business needs into durable architectural solutions and influencing cross-functional alignment