Partner Operations Senior Engineer

Location: In office, San Francisco (HQ) Experience: 6-9 years Reports To: Director of SI Partner Solutions Focus: Own infrastructure, pipelines, and production apps supporting our partner ecosystem We are looking for a Partner Operations Senior Engineer to join our fast-growing Partnerships Team, with a shared mission to transform partner data into purpose-built applications and operational workflows that drive measurable business outcomes. If you love sitting at the intersection of data engineering and product thinking, where the models you build power the applications your colleagues rely on every day, then this role was designed for you. You will architect and own the data infrastructure, applications, and operational systems that are at the center of how we understand, grow, and operate our partner business. At Sigma, we drink our own champagne. You will be Customer Zero using our own platform to push it to its limits, feeding real-world insights directly to Engineering and Product, and setting a high bar for production-grade AI Apps built on our platform. This role is based out of our HQ in San Francisco. Key Responsibilities: Core Data Platform Own the central data infrastructure underpinning all partner team assets: custom-enriched datasets, deduplication and mapping tables, and upstream change maintenance Build and maintain the data foundation that everything else depends on: portal, applications, reporting, and the semantic layer Stage and integrate new data sources as partner motions expand, including event and webhook pipelines flowing into Snowflake and the Partner Data Platform Own certification data ingestion via API and maintain data quality for tier and program reporting Domain Data Architecture Build a dedicated data foundation for the SI partner segment: multi-domain entities, acquisitions, tiering logic, and RLS Create centralized SI partner objects with unified mappings across regions, partner managers, domains, tier thresholds, and snapshotting Application Engineering Own the Partner Portal end-to-end: architecture, feature development, data modeling, and iteration, including a dedicated dbt project and Git-based model versioning Manage bi-directional data pipelines: inbound feeds powering portal functionality, outbound pipelines pushing data back to systems of record and into CS consumption and internal metrics Own the full application stack for recurring partner programs: data modeling, bi-directional data flow, approver workflows, alerts, notifications, and analytics Drive UX design and application specifications before development begins incorporating the most recent features of the product GTM Data Modeling Design and maintain the data models powering the Partner Team's GTM motion: pipeline health, partner-influenced pipeline, joint pipeline insights, and consumption impact Continuously test, refine, and improve models and metrics based on feedback and performance Cross-functional Partnership Serve as the primary data engineering interface across RevOps, Data Engineering, and Partner Ops, owning documentation, data quality standards, and proactive process improvement Work closely with Partner Leadership to formulate roadmaps and strategic initiatives around partner operations What we’re looking for: 6-9 years of experience in analytics engineering, data engineering, or a related role Strong expertise in SQL and dbt, including managing multi-project dbt environments Hands-on experience with Snowflake or similar cloud data platforms Demonstrated experience building and owning internal line-of-business applications from requirements through production Experience architecting bi-directional data pipelines: ingesting from external sources and writing back to systems of record Experience with Sigma is highly preferred; backgrounds involving Retool, Appsmith, or custom web frameworks (React, Next.js) are directly relevant Comfort with UX design fundamentals: wireframing, user flow mapping, and translating requirements into specs — familiarity with Figma is a plus Strong business acumen in GTM and partner ecosystems specifically Comfort navigating a broad cross-functional stakeholder map across RevOps, Data Engineering, and Partner Operations Bachelor's degree in Computer Science, Informatics, Information Systems, or equivalent experience Bonus Qualifications: Experience at a SaaS company, ideally in a partner or GTM data context Experience with RLS design in multi-tenant data environments Experience with workflow automation platforms (n8n, Make, Workato) Familiarity with REST APIs and data integration patterns, particularly for certification or CRM platforms Experience with Python Startup or high-growth environment experience About us: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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