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Strong Tier-1 brand, metro location, and broad platform requirements increase candidate competition.
Requires deep data platform and operational expertise, but technical skills are moderately transferable across industries.
Explicit 12+ years plus 3+ years managerial requirement and mandatory platform and operational experience tighten screening.
Lead a team of 2-5 engineers responsible for foundational Data & Audience Platform capabilities, including data processing, metadata management, reliability, and operational excellence.
Own delivery and execution of data collection, batch and streaming data processing, observability, cost efficiency, and self-service platform features within the team’s domain.
Establish and maintain operational practices (SLIs/SLOs, incident response, monitoring), drive governance and data trust frameworks, and improve developer experience through automation and self-service workflows.
Bachelor’s degree or higher in Computer Science, Engineering, or related field.
12+ years of professional software or data engineering experience.
3+ years of experience managing engineers with responsibilities including hiring and career development.
Strong hands-on experience with large-scale data platforms, distributed systems, cloud infrastructure, and modern data platform concepts including batch/stream processing, data governance, orchestration, observability, and cost management.
Experienced engineering manager who can translate strategic goals into prioritized delivery and cultivate technical growth within a small distributed team.
Proven ability to drive operational excellence and implement governance, metadata, and data trust practices within a complex, multi-stakeholder environment.
Technical depth to review designs and code for large-scale data platform technologies and foster innovation while balancing reliability, cost, and security constraints.