Enterprise Data Engineering – Platform Manager

Vaga não está no LinkedIn

🕒 Maio 27

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $135.000 - $185.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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Superlanet

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2017

⚕️ Seguro de Saúde

🎯 Recrutamento

Healthcare Insurance • Recruitment • Human Resources

A Superlanet é uma empresa de consultoria e contratação focada no setor de saúde, especializada em fornecer serviços de Empregador de Registro e soluções de força de trabalho em múltiplos estados. A empresa está empenhada em fornecer soluções especializadas de recrutamento e contratação adaptadas ao setor de saúde, garantindo que seus clientes tenham acesso a profissionais qualificados de maneira oportuna. A Superlanet enfatiza seus valores únicos e compromisso com um serviço de qualidade, tornando-se um parceiro de confiança na gestão da força de trabalho em saúde.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• Salary based on experience • Equal Opportunity Employer