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 & Duties
Data Platform Strategy and Enterprise Leadership
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
Organizational Leadership and Workforce Development
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
Engineering Governance and Technical Oversight
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
Data Quality, Security, and Regulatory Compliance
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
Program Delivery and Legacy EDW Sunset
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
Stakeholder Engagement and Executive Communication
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
Minimum Requirements
Education & Experience
Required:
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.
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.
Preferred:
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.
Knowledge, Skills, & Abilities
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
Employment 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/Annually
Exact 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 Disability
Generous retirement savings plan
Flexible work schedules including hybrid/remote options
Paid time off including vacation, sick leave, holiday, management leave
Dress flexibility