Enterprise Data Engineering & Platform Manager

This is a remote position.

Superlanet is seeking a Data Engineering Manager for our healthcare client in Texas. This Enterprise Data Engineering & Platform Manager will lead a highly visible enterprise data engineering function supporting healthcare analytics, AI/ML initiatives, enterprise data modernization, and cloud platform strategy across a large multi-institution healthcare and academic environment. This is a direct hire, remote opportunity with periodic travel; Texas-based candidates are highly preferred. 

This role requires a strong blend of technical leadership, enterprise architecture experience, healthcare data knowledge, and stakeholder management capability. The ideal candidate will be comfortable operating in a fast-paced, evolving environment with complex organizational dynamics and enterprise-scale data initiatives.

• Lead enterprise data engineering and platform modernization initiatives across clinical, operational, financial, and research environments
  
• Define architectural roadmaps, governance standards, and long-term platform strategy
  
• Support AI/ML enablement, Azure cloud initiatives, and enterprise analytics modernization
  
• Oversee scalable data pipelines, enterprise integrations, and cloud-based analytics ecosystems
  
• Evaluate and implement modern technologies to improve scalability, performance, and operational efficiency
  

• Manage ETL/ELT pipelines and modern orchestration frameworks
  
• Support enterprise data lake, warehouse, and analytics platforms
  
• Collaborate with infrastructure, security, analytics, and application teams on enterprise integration strategies
  
• Ensure platform reliability, scalability, security, and performance across hybrid and cloud environments
  

• Support healthcare analytics initiatives involving Epic, OMOP, interoperability, population health, and clinical data integration
  
• Partner with clinical, operational, and analytics stakeholders to align data initiatives with organizational priorities
  
• Lead data mapping, governance, and healthcare data standardization efforts
  

• Lead and mentor a blended team of FTEs, contractors, and consultants
  
• Provide technical leadership while managing evolving stakeholder expectations
  
• Facilitate cross-functional collaboration across technical, operational, and executive leadership groups
  
• Translate complex technical concepts into clear business-focused communication
  

• Ensure compliance with HIPAA, HITECH, and enterprise governance standards
  
• Support enterprise data governance, metadata management, lineage, and security initiatives
  
• Partner with compliance and security teams to maintain scalable governance frameworks
  

• 10 years of experience in data engineering, enterprise data architecture, or analytics platforms
  
• 2 years of technical leadership experience within complex enterprise environments
  
• Healthcare industry experience required
  
• Strong experience with Azure cloud technologies and modern data engineering ecosystems
  
• Experience building enterprise-scale data platforms and architectural roadmaps
  
• Experience with Databricks, Snowflake, Microsoft Fabric, Spark, Kafka, or Airflow 
  
• Strong stakeholder management and executive communication skills
  
• Experience operating within large, multi-entity enterprise environments
  

• Experience with Epic Systems, OMOP, healthcare interoperability, or population health initiatives preferred
  
• Exposure to AI/ML initiatives, advanced analytics, or enterprise modernization programs 
  
• Experience supporting large academic medical centers or multi-institution healthcare environments preferred
  
• Master’s degree in a related technical or healthcare field preferred