Dir-Data Platform Engineering (Full-time Remote, North Carolina Based)

Alliance Health is modernizing its enterprise data environment through a cloud-based data engineering platform. The Director-Data Platform Engineering will provide strategic leadership, governance, and delivery oversight for the platform, lead the Data Platform Engineering team, and oversee migration from the legacy Enterprise Data Warehouse. The role will ensure secure, scalable, high-quality data products that support analytics, reporting, interoperability, compliance, and organizational decision making.

Responsibilities:

• Define, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health’s Data Modernization Initiative
• Lead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platform
• Establish platform success metrics related to scalability, reliability, performance, cost management, and business value
• Serve as the executive level authority for enterprise data platform direction and technical decision making
• Lead and develop the Data Platform Engineering team, including the Cloud Data Architect, Lead Cloud Data Engineer, Cloud Data Engineers, Data Quality Engineer, Business Analyst, and Data Governance Analyst
• Establish role clarity, career pathways, and performance expectations aligned with Alliance Health’s IT Job Architecture
• Coach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownership
• Build a sustainable internal delivery model that reduces long term reliance on consultants
• Establish and enforce enterprise standards for data ingestion, transformation, and serving layers, medallion and Lakehouse architecture patterns, CI/CD, DevOps, and environment management, and monitoring, observability, and production support
• Provide oversight and approval for complex architecture and solution designs impacting the enterprise data platform
• Ensure consistency of engineering practices across data domains and delivery teams
• Ensure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implemented
• Partner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit logging
• Maintain accountability for platform stability, incident response, and root cause remediation
• Provide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assets
• Manage cross functional dependencies, delivery risks, and sequencing of modernization activities
• Ensure transparent reporting on delivery status, risks, and outcomes to executive leadership
• Act as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiatives
• Translate business and regulatory requirements into scalable technical capabilities
• Communicate platform strategy, risks, progress, and outcomes to executive leadership

Requirements:

• Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed
• Bachelor's degree in computer science or a related field, with six (6) years of experience with increasing responsibilities in data engineering, data architecture, or enterprise data platform leadership and three (3) years of experience in people management, platform governance, and cross functional delivery
• Demonstrate experience leading enterprise scale data platforms on Microsoft Azure, including data Lakehouse or data warehouse modernization initiatives
• Experience should also include operating in regulated environments, preferably healthcare, with responsibility for data security, privacy, and compliance outcomes
• • Implementing and maintaining enterprise-scale Medallion data platforms on Microsoft Azure
• • Databricks Development
• • Python, SQL, PySpark, SQL, and modern data engineering frameworks
• • Azure Data Services: ADLS Gen2, Data Factory, Synapse
• • DevOps, Git and CI/CD best practices
• • Agile methodology and tools
• • HIPAA/HITECH compliance in cloud architectures
• • Technical documentation skills
• • Communication and organizational skills
• • Ability to work independently and in a team setting
• Master's degree from and accredited college/university in computer science or related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership
• Microsoft Certified Azure Solutions Architect Expert, Microsoft Certified Databricks Professional, Microsoft Certified Azure Security Engineer Associate (AZ 500) or comparable technical certification is preferred
• Microsoft Certified Databricks Data Engineer Professional or comparable technical certification is preferred at the time of hire and must be obtained within 12 months of employment if not already held