# Staff Data Engineer - Data Infrastructure

**Company:** [Discord](https://hotfix.jobs/companies/discord)
**Location:** Unspecified
**Role:** Data Engineering
**Salary:** $279k – $310k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, CI/CD, Git, Data Governance, Data Quality, Data Modeling, Anomaly Detection, data lineage, dbt, BigQuery, semantic layer, metrics store, SOX Compliance
**Posted:** 2026-08-10

> Leads the technical strategy, governance, and quality of Discord’s analytical data infrastructure, building trusted curated datasets and metric frameworks for internal and externally reported analytics. Requires 7+ years in data and software engineering, expert SQL, strong Python, and experience operating data systems at scale.

## Job Description

## Responsibilities
- Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models.
- Own the design and implementation of data governance programs end to end, translating policy requirements into flexible, configurable infrastructure in partnership with Data Platform Engineering.
- Design and build data abstractions and analytical frameworks using SQL, Python, and modern data stack technologies.
- Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and rigorous change management.
- Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization.
- Lead cross-functional technical initiatives across product verticals and mentor engineers.
- Make sound technical decisions with incomplete information while balancing short-term delivery with long-term infrastructure investment.

## Requirements
- 7+ years of experience in data and software engineering, focused on building curated, consumer-facing datasets.
- 7+ years of experience designing, developing, and maintaining data infrastructure used by data teams at scale.
- Expert-level SQL and strong Python skills.
- Solid fundamentals in version control and CI/CD.
- Experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets.
- Strong business acumen and communication skills, including translating ambiguous business questions into concrete metric definitions.
- Experience collaborating with Data Science, Finance, and Product teams.

## Nice-to-Haves
- Experience building or contributing to a semantic layer or metrics store.
- Experience with modern analytics and data engineering tools and workflows, such as dbt and BigQuery.
- Experience defining and governing metric standards across a data organization.
- Experience with reporting infrastructure subject to external audit or SOX compliance.

## Compensation and Benefits
- Base salary range: **$279,000–$310,000**, plus equity and benefits.
- Compensation details reflect base salary only and exclude equity and benefits.

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