Staff Data Engineer, Reddit

• AWS S3 Integration & Pipeline Infrastructure: Hands-on experience architecting ingestion patterns that land high-volume data from source systems/middleware into cloud storage, with specific expertise in optimizing data flows into AWS S3 to form a clean, structured staging layer or data lake landing zone
• Modern Data Engineering Standards: Deep commitment to data engineering best practices, including designing highly idempotent and resilient pipelines, establishing data lineage, implementing schema validation/handling schema evolution, and building automated alerts for pipeline failures or data drift, with hands-on experience using modern orchestration tooling and a cloud data warehouse
• 7+ years of experience engineering data integrations and pipelines across complex enterprise ecosystems—with a mandatory mastery of data standards, governance, and security, while hands-on experience with ERPs (e.g., NetSuite) or financial platforms (e.g., Coupa, Zip) and iPaaS tools (e.g., Workato) is a strong plus
• Data Infrastructure & Modeling: Proven track record designing data pipelines and schemas for analytics and reporting on a cloud data warehouse, including maturing and scaling existing infrastructure
• Public Company & SOX Compliance: Direct experience working in a public company environment, with a strong understanding of how to implement rigid data governance, pipeline observability, and automated reconciliation controls to support SOX compliance
• Agile & Autonomous Execution: Experience operating within an Agile framework (Jira) to manage sprints and prioritize backlogs. Proven ability to act autonomously, wear multiple hats, and set the technical bar for a fast-growing financial systems function
• Nice to Have:

Desirable

• The Corporate Engineering Team at Reddit leverages technology to maximize enterprise value, organizational alignment, and operational scale through robust corporate platforms, automated workflows, and seamless system integrations
• We build the data and infrastructure foundations that enable Reddit to make sound, data-driven operational decisions and scale our global business securely
• About the Role:
• Reddit’s Corporate Engineering Team is looking for a highly experienced Staff Data Engineer to advance the data architecture and ETL infrastructure powering our global corporate ecosystem
• In this role, your primary focus will be modernizing the data foundations that power our financial systems, while simultaneously scaling data pipelines for broader enterprise and operational initiatives. You'll establish scalable, well-architected data infrastructure and evolve our existing corporate pipelines toward modern data engineering best practices
• Build & Modernize Core Data Infrastructure: Lead the evolution of our existing integrations toward a modern, orchestrated architecture. Design, build, and scale robust data pipelines into a cloud data warehouse, integrating data from our enterprise systems (ERP/EPM/Treasury/HR)
• Own the Data Architecture: Set the long-term technical direction for our financial data warehouse and analytics strategy. You'll evolve early pipelines into a scalable, well-modeled platform that serves Finance stakeholders
• Ensure Institutional Data Integrity: Establish rigorous automated reconciliation logic, data quality frameworks, and monitoring within Workato/Tines to ensure all financial, billing, and tax data is 100% accurate, traceable, and SOX-compliant
• Drive Engineering Excellence: Set a high technical bar for the team by introducing data engineering best practices in version control, CI/CD pipelines, error handling, and security standards for financial workflows
• Partner Cross-Functionally: Collaborate deeply with Finance, Accounting, and Strategic Finance stakeholders, alongside Legal, HR, and other core business teams, to translate complex reporting, compliance, and enterprise operational requirements into robust, automated technical solutions across Reddit's broader Corporate Engineering ecosystem