Engineering Manager, Data Tooling

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.

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.

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

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.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.