Engineering Manager, Data Tooling

Overview

Lead the Tooling team, which builds shared tools, frameworks, and developer experiences that make data reliable, discoverable, governable, efficient, and easy to use across Roblox.

What you'll do

• Lead, coach, and grow a team of engineers through clear expectations, regular feedback, thoughtful hiring, and meaningful technical and career development.
• Own and execute a roadmap for shared data tooling, including frameworks for data quality, lineage, metadata, ownership, discoverability, observability, lifecycle management, optimization, and self-service.
• Set technical direction for platform capabilities that turn data and operational signals into actionable workflows, dashboards, alerts, recommendations, and automated remediation.
• Improve the developer and user experience for discovering, validating, operating, and governing data products.
• Drive initiatives that reduce operational toil, improve data quality and freshness, shorten incident resolution time, optimize compute and storage cost, and responsibly retire low-value data assets.
• Create alignment across teams by communicating priorities, technical tradeoffs, risks, dependencies, and measurable outcomes clearly.
• Build a culture of ownership, operational excellence, experimentation, and continuous improvement.

What you'll need

• Experience managing, mentoring, or technically leading engineers, with a demonstrated commitment to developing people and building high-performing teams.
• Experience with data catalogs, lineage systems, data-quality frameworks, observability platforms, or metadata services.
• Experience building or operating shared platforms and frameworks used by multiple teams, not only one-off datasets or pipelines.
• Experience partnering with Data Science, experimentation, ML, product, or infrastructure teams to translate ambiguous requirements into durable technical solutions.
• Strong product thinking: you can identify high-leverage customer problems, prioritize across competing requests, drive adoption, and measure whether a platform investment is working.
• Clear written and verbal communication, including the ability to explain technical concepts and tradeoffs to both engineering and non-technical stakeholders.

Nice to have

• Familiarity with agentic or AI-assisted workflows for data discovery, analysis, or platform operations.

Details

• Location: San Mateo, CA, United States (headquarters).
• Onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
• Annual base salary range: $295,250 to $345,040 USD. Actual base pay depends on factors such as professional background, training, work experience, location, business needs and market demand.
• Full-time role, eligible for equity compensation and benefits.
• For US-based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.