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, 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

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 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

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.