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Strong employer brand plus metro and visible engineering manager title create moderate candidate density.
Leadership in data engineering is transferable across industries but requires specific big-data and cloud experience.
Multiple explicit years requirements and mandatory data, cloud, and containerization skills raise screening rigor.
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Lead design, build, and deployment of technology architecture and software for managing structured/unstructured data from multiple sources.
Manage and develop a data engineering team including goal setting, coaching, and performance tracking aligned with business objectives.
Implement Agile project execution, drive operational efficiency improvements, and ensure quality and compatibility of data systems and processes.
12+ years of IT experience; 6+ years leading data engineering teams in Big Data and AWS environments.
3+ years experience with containerized data engineering solutions using Docker and Kubernetes.
Bachelor's Degree preferred, though combination of coursework and professional experience considered.
Expertise in Agile software development and CI/CD practices.
Experienced in large-scale data engineering leadership with ability to create scalable, reliable technical roadmaps.
Proven capability to manage cross-functional teams and collaborate with diverse IT and business stakeholders in Agile settings.
Strong background in modern data platforms, cloud solutions, and container orchestration aligned with evolving technology strategies.