Staff Data Engineer, Corporate Engineering

Reddit, Inc. is a community-driven platform that facilitates open and authentic conversations online, serving millions of users globally. The Staff Data Engineer will modernize the data architecture and ETL infrastructure for Reddit's corporate ecosystem, focusing on enhancing financial systems and scaling data pipelines. This role involves collaborating with various teams to ensure data integrity and drive engineering excellence.

Responsibilities:

• 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

Requirements:

• 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
• Financial Domain Expertise: Strong understanding of core financial business processes (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report) and a deep conceptual knowledge of how billing, revenue recognition, and month-end accounting data impact downstream financial reporting
• NetSuite Schema & Data Extraction Mastery: Extensive experience navigating NetSuite's underlying data models, core ledger schemas, and transaction histories. Proven track record of leveraging NetSuite extraction capabilities—specifically interfacing with SuiteTalk (REST/SOAP APIs) and custom segments—to pull clean, reliable raw financial data
• Experience working within a modern cloud data platform and analytics ecosystem