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About the Role

Own infrastructure, pipelines, and production apps supporting our partner ecosystem. 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. 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.

Responsibilities

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
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
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
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
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

Requirements

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
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

Skills

SQL
dbt
Snowflake
Retool
Appsmith
React
Next.js
Figma
Python

Location

San Francisco (HQ)

Work Type

In office

Experience Level

6-9 years

Education Level

Bachelor's degree in Computer Science, Informatics, Information Systems, or equivalent experience

Benefits

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

About the Company

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.

Equal Opportunity

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.