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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, metro location, and a generic Engineering Manager title increase applicant competition.
Data engineering leadership skills are broadly transferable across industries but require specific cloud and big-data expertise.
Explicit 12+ years, 6+ years leadership, and mandatory AWS/Kubernetes skills increase screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, build, deployment, and operation of data architecture and engineering solutions on Big Data platforms and AWS.
Manage and grow a data engineering team, track goals and performance, ensure delivery using Agile methodologies, and oversee operational standards.
Drive adoption of AI/ML tools for data processing, set technical roadmaps, and coordinate cross-stakeholder collaboration for data platform enhancements.
Minimum Requirements
12+ years IT experience with at least 6+ years leading data engineering teams focused on Big Data and AWS platforms.
3+ years experience building containerized data engineering solutions using Docker and Kubernetes.
Experience with Agile software development and CI/CD practices.
Bachelor's Degree preferred; combination of coursework and experience also considered.
Ideal Candidate Profile
Experienced in managing technical teams with a focus on operational efficiency and technical debt reduction in a data engineering context.
Proficient in balancing performance, cost, scalability, and reliability in enterprise-level data solutions.
Capable of aligning team objectives with organizational goals and communicating effectively with both technical teams and senior leadership.