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.
Responsibilities
Enterprise Data & Platform Leadership
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
Data Engineering & Cloud Ecosystem
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
Healthcare Analytics & OMOP
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
Leadership & Stakeholder Management
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
Governance & Compliance
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
Required Qualifications
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
Preferred Qualifications
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
