Senior Director of Data Engineering

CuraLinc Healthcare delivers transformative mental health care through technology and personalized advocacy, with data central to supporting members, clients, and business decision-makers. The Senior Director of Data Engineering will lead the newly created data function, owning the analytics platform from raw data through executive dashboards while establishing standards for data engineering, governance, reporting, and team development.

Responsibilities:

• Conduct Structured Discovery with Executives and Functional Leaders to Surface the Business Questions Our Data Can't Answer Yet
• Translate Those Questions into a Prioritized Roadmap of Platform, Data Model, and Analytics Deliverables
• Serve as the Primary Translator Between Business Strategy and Data Architecture, Making Complex Tradeoffs Legible to Non-Technical Stakeholders
• Own and Operate CuraLinc's Microsoft Fabric Analytical Platform (Workspaces, Deployment Pipelines, Capacity Management, Power BI Semantic Models) Alongside Our AWS Application Architecture
• Establish Environment Separation, Release Management, and Validation Practices for the Data Platform, Matching the Engineering Discipline of Our Application Development
• Drive Automation Through Infrastructure-as-Code, CI/CD, Automated Testing, and Strong Observability Across the Analytics Stack
• Own Metric Governance End to End: Canonical Definitions, Lineage, Quality, and the Semantic Layer that Reporting is Built on
• Unify Identity and Account Data Across CRM, Financial, and Clinical Systems at Enterprise Scale
• Integrate Data from Clinical, CRM, Financial, Operational, Application, and Third-Party Systems into Governed, Reliable Pipelines
• Build and Maintain Executive Dashboards and Self-Serve Reporting that Let Leadership Monitor the Business without Analyst Bottlenecks
• Partner with Software Engineering and Product to Deliver Analytics Through APIs, Services, and CuraLinc's Client-Facing Applications
• Advance Reporting Automation, Moving Internal and Client Reporting Toward Governed, Scheduled Delivery
• Lead, Mentor, and Grow the Data and Analytics Team While Remaining Hands-On with Architecture, Design, Code, and Technical Reviews
• Uphold Security, Privacy, and Compliance Across the Analytics Layer, Including PHI Handling and Multi-Tenant Isolation in a Regulated Healthcare Environment
• Build a Culture of Data Literacy Through Documentation, Training, and Accessible Tooling

Requirements:

• 10+ Years in Data Engineering, Analytics Engineering, Software Engineering, or Data Architecture, Including 5+ Years of Technical Leadership or Engineering Management
• Proven Experience as a Founding or Senior Data Leader who has Owned the Full Stack from Raw Data to Executive Dashboard without Heavy Support Infrastructure
• Experience Maturing and Operating Data Platforms in Production: Environment Separation, Release Management, Capacity Planning, and Incident Response, in Addition to Net-New Builds
• Hands-On Experience Operating Microsoft Fabric or Closely Equivalent Platforms (Synapse, Power BI at Enterprise Scale), Ideally Alongside an AWS Application Infrastructure
• Experience Owning Metric Definitions, Semantic Layers, or Data Governance Across Departments, with the Communication Skills to Build Alignment through Influence
• Strong Proficiency in SQL and at Least One Programming Language such as Python or Java; Deep Grounding in Data Modeling, Query Optimization, and Analytical Architecture
• Excellent Written and Verbal Communication; Able to Present Findings and Recommendations Credibly to Executives and a Board
• Bachelor's or Master's Degree in Computer Science, Data Engineering, Information Systems, or a Related Field, or Equivalent Professional Experience
• Experience in Healthcare or Another Regulated Industry, with Comfort Designing for PII, PHI. HIPAA and SOC 2 Compliance Requirements
• Experience Building or Operating Client-Facing or Productized Analytics, Such as Customer Dashboards, External Data Feeds, or Embedded Reporting
• Experience with dbt or Comparable Transformation Frameworks, and with Modern Data-Quality and Orchestration Tooling
• Fluency Using AI Development Tools Such as Claude Code or GitHub Copilot
• Experience Hiring and Growing a Data Team from Scratch