Staff Data Engineer - Data Infrastructure

Discord

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

8 days ago

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Job summary

Discord seeks a Staff Data Engineer to steer the strategic direction of our analytical data platform. You will shape the data layer, ensure robust transformation and semantic structures, and build datasets that are trustworthy and self-serve for internal teams, investors, and partners.

This role partners with Data Governance, Data Science, Product, Finance, and Engineering to deliver scalable, auditable solutions.

Qualifications

  • Seasoned technical leader with deep data engineering experience.
  • Strong ability to design scalable data platforms and governance-aligned data pipelines.

Responsibilities

  • Lead the technical vision for analytical data infrastructure and semantic layer.
  • Partner with Data Governance, Data Science, Product, Finance, and Engineering to deliver trusted datasets.
  • Ensure datasets are well-documented, tested, and self-serve for internal teams and external stakeholders.

Job description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer. You will drive technical vision and strategy for our analytical data infrastructure which facilitates the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data your team builds won\'t just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Governance, Data Science, Product, Finance, and Engineering teams. This role reports to the Director of Data Engineering.

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