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

The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health's modern cloud based data engineering platform, replacing the legacy Enterprise Data Warehouse operating model.The Director-Data Platform Engineering provides enterprise accountability for the design, development, operation, and continuous evolution of the data platform, ensuring secure, scalable, and high quality data products that support analytics, reporting, interoperability, regulatory compliance, and organizational decision making. The Director leads the Data Platform Engineering team and oversees the phased migration and sunset of legacy EDW capabilities as data domains transition to the modern platform.This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.Responsibilities & DutiesData Platform Strategy and Enterprise LeadershipDefine, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health's Data Modernization InitiativeLead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platformEstablish platform success metrics related to scalability, reliability, performance, cost management, and business valueServe as the executive level authority for enterprise data platform direction and technical decision makingOrganizational Leadership and Workforce DevelopmentLead 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 AnalystEstablish role clarity, career pathways, and performance expectations aligned with Alliance Health's IT Job ArchitectureCoach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownershipBuild a sustainable internal delivery model that reduces long term reliance on consultantsEngineering Governance and Technical OversightEstablish 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 supportProvide oversight and approval for complex architecture and solution designs impacting the enterprise data platformEnsure consistency of engineering practices across data domains and delivery teamsData Quality, Security, and Regulatory ComplianceEnsure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implementedPartner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit loggingMaintain accountability for platform stability, incident response, and root cause remediationProgram Delivery and Legacy EDW SunsetProvide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assetsManage cross functional dependencies, delivery risks, and sequencing of modernization activitiesEnsure transparent reporting on delivery status, risks, and outcomes to executive leadershipStakeholder Engagement and Executive CommunicationAct as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiativesTranslate business and regulatory requirements into scalable technical capabilitiesCommunicate platform strategy, risks, progress, and outcomes to executive leadershipMinimum RequirementsEducation & Experience: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.The following technical certification (or comparable) is required:Databricks Certified Data Engineer ProfessionalPreferred:Master's degree in computer science or a related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership preferred.Any of the following or comparable technical certification is preferred:Microsoft Azure Solutions Architect ExpertDatabricks Certified ProfessionalAzure Security Engineer Associate (AZ 500)Knowledge, Skills, & AbilitiesImplementing and maintaining enterprise-scale Medallion data platforms on Microsoft AzureDatabricks DevelopmentPython, SQL, PySpark, SQL, and modern data engineering frameworksAzure Data Services: ADLS Gen2, Data Factory, SynapseDevOps, Git and CI/CD best practicesAgile methodology and toolsHIPAA/HITECH compliance in cloud architecturesTechnical documentation skillsCommunication and organizational skillsAbility to work independently and in a team settingAzure Platform Architect AccreditationEmployment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.Salary Range$131,191-$167,268/AnnuallyExact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.An excellent fringe benefit package accompanies the salary, which includes:Medical, Dental, Vision, Life, Long Term DisabilityGenerous retirement savings planFlexible work schedules including hybrid/remote optionsPaid time off including vacation, sick leave, holiday, management leaveDress flexibility