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Tier-1 brand, common engineering manager title, and metro location drive high candidate competition.
Data platform leadership is transferable across industries, though telecom/GIS preference makes fit moderately sensitive.
Explicit 8+ years, 3+ years people-management, and mandatory data platform skills create high shortlisting strictness.
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Lead design, delivery, and continuous improvement of scalable data and platform engineering solutions, ensuring quality and alignment with business objectives.
Manage end-to-end delivery of engineering initiatives, including Agile execution, progress tracking, and risk communication to leadership.
Build and develop high-performing engineering teams through coaching, mentoring, performance management, and career development.
8+ years of experience in software engineering or data engineering, including 3+ years in people management or technical leadership roles.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Strong technical background in software and data engineering, including experience with ETL pipelines, data management, and cloud-based platforms (preferably AWS).
Experience with CI/CD and infrastructure automation tools such as Git, Jenkins, Concourse, Terraform.
Experienced leader who can balance technical architectural quality with delivery commitments and mentor engineers effectively.
Proficient in managing large-scale data platforms with strong knowledge of data quality, governance, and performance optimization.
Able to collaborate across product, architecture, and stakeholder teams to drive strategic alignment and continuous improvement.