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

Benefits

Salary based on experience $135,000 - $185,000 +