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Strong employer brand and metro location increase applicant density, balanced by seniority and specialized data skills.
Manager-level data engineering skills are moderately transferable, but platform, governance, and analytics experience increases domain specificity.
Explicit 8+ years requirement, 2+ years people management, and platform-specific skills make filters strict.
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Lead and manage a team of data engineers to build and operate data capabilities supporting product and analytics offerings.
Own Agile team execution including sprint planning, backlog management, capacity planning, and delivery quality improvement.
Provide technical oversight of data pipelines, data models, integrations, and platform components ensuring reliability, scalability, governance, and compliance.
Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or related field.
8+ years of experience in data engineering, software engineering, data platforms, analytics, or related technical role.
2+ years of direct people management experience including managing and developing engineering teams.
Experience working with cloud-based data platforms such as Databricks or equivalent and strong understanding of data architecture, ETL/ELT, and data governance.
Experienced leader with a track record of managing Agile engineering teams delivering data platforms or analytics products.
Strong collaborator capable of partnering across product, engineering, and business stakeholders to translate priorities into execution.
Technically proficient in modern data engineering platforms and practices, with focus on reliability, compliance, and continuous improvement in data systems.