Enterprise Data Engineering – Platform Manager

Job not on LinkedIn

🕒 May 27

🤠 Texas – Remote

🤠 Texas – Remote

💵 $135k - $185k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Superlanet

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

⚕️ Healthcare Insurance

🎯 Recruiter

Healthcare Insurance • Recruitment • Human Resources

Superlanet is a healthcare-focused advisory and staffing firm specializing in providing Employer of Record services and multi-state workforce solutions. The company is committed to delivering expert recruiting and staffing solutions tailored to the healthcare sector, ensuring its clients have access to qualified professionals in a timely manner. Superlanet emphasizes its unique values and commitment to quality service, making it a trusted partner in the healthcare workforce management.

📋 Description

• 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 • 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

🎯 Requirements

• 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

🏖️ Benefits

• Salary based on experience • Equal Opportunity Employer