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 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
Requirements
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.
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 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
Bachelor's degree in Computer Science, Informatics, Information Systems, or equivalent experience Bonus
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.
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.
Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. 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.
Benefits
Generous health benefits
Flexible time off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Additional details
Focus: Own infrastructure, pipelines, and production apps supporting our partner ecosystem
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.
This role is based out of our HQ in San Francisco. Key Responsibilities: Core Data Platform •
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
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 •
Comfort navigating a broad cross-functional stakeholder map across RevOps, Data Engineering, and Partner Operations
Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.