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Mid-level manager title and generalist data role attract moderate candidate density.
Data engineering skills and management are broadly transferable across industries.
No explicit years, tech stack, or certifications mentioned, so filtering is likely lenient.
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Drive development of new data engineering solutions for complex projects or programs.
Make final decisions and provide expert opinions in data engineering domain; coach and mentor team members.
Lead and manage a team of data engineering specialists with full employee lifecycle responsibilities including implementing policies and processes aligned to business strategy.
Expertise in a specialized data engineering discipline and thorough understanding of related disciplines.
Experience leading teams with multiple hierarchical levels.
Work Experience Required: Not explicitly mentioned in the JD.
Education or specific technical skill requirements: Not explicitly mentioned in the JD.
Proven ability to lead and mentor specialists in data engineering or related fields.
Operates effectively at both strategic and tactical levels to implement short to medium term initiatives.
Experienced decision maker comfortable driving solutions in complex, multi-disciplinary projects.