Sr. Engineering Manager - Data Platform

About the Role:

We are looking for a Senior Engineering Manager to lead our Data Platform & Infrastructure team. This leader will own the strategy, execution, and evolution of the foundational data systems that power insights and our ecosystem.

You will lead a team of highly capable engineers responsible for building reliable, scalable, secure, and developer-friendly data infrastructure. This includes data ingestion and processing, data platforms, storage and compute, orchestration, observability, and the infrastructure that enables teams across the company to efficiently build and operate data-intensive products and applications.

This is a hands-on leadership role: you will set technical direction and organizational strategy while remaining close enough to the technology to make high-quality architectural decisions and guide the team through complex technical challenges.

Responsibilities:

Leadership & Team Management

• Lead, recruit, and mentor an exceptional engineering team.
• Direct data infrastructure strategy to drive business and product success.
• Oversee resource allocation, including headcount and vendor budget planning.
• Establish operational rhythms, goals, and execution frameworks aligned with core business outcomes.
• Cultivate an inclusive environment focused on ownership, technical rigor, and continuous professional development.
• Champion team morale, engagement, learning opportunities, and delivery velocity.

Data Engineering Strategy

• Guide system architecture, data flow design, quality standards, and platform roadmaps.
• Partner with Product and Data leadership to plan, sequence, and execute multi-quarter initiatives.
• Define robust platform abstractions, APIs, and SLAs to streamline developer workflows and increase adoption.
• Ensure infrastructure resilience through comprehensive monitoring, incident management, disaster recovery, and cost optimization.
• Work cross-functionally with Security, Audit, and Analytics Engineering to deploy key capabilities and compliance controls.

Cross-Functional Partnership

• Engage with Data, Product, and Finance partners to enable machine learning, experimentation, and business reporting.
• Establish and enforce organization-wide standards for pipeline reliability, data security, and quality.

Technical Leadership

• Advocate for automation, engineering best practices, and thoughtful trade-offs between execution speed and long-term scalability.
• Thrive in fast-paced, ambiguous settings while cultivating senior technical leaders and building leadership succession through delegated autonomy, developing senior technical leaders and succession depth.