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HomeCompaniesSigma Computing Senior Partner Engineer, Databricks Alliance

Senior Partner Engineer, Databricks Alliance

Sigma Computing · San Francisco, CA · On Site · Active · Greenhouse

Job facts

FieldValue
CompanySigma Computing
Title Senior Partner Engineer, Databricks Alliance
Normalized title-
Department / teamPartnerships
LocationSan Francisco, CA, United States
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-01 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sigma Computing.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Partnerships.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySigma Computing
Sourceaedcf5bd-cb2a-414a-8038-66a7a82361a2
ATS providerGreenhouse

Description

Job Summary: A Senior Partner Engineer, Databricks Alliance, is the principal technical advisor and advocate for the Sigma-Databricks partnership, both internally at Sigma and externally with Databricks. This role requires a deep, current, and comprehensive understanding of both the Sigma and Databricks products and the differentiated value they deliver together to joint customers. The Senior Partner Engineer provides technical thought leadership and strategic guidance across the partnership lifecycle, including: enabling technical sales and solution development, managing high-priority technical engagements, driving enablement for field teams, and contributing to overall revenue growth and customer success. Responsibilities: Strategic Technical Alliance Leadership: Serve as the primary technical leader and advocate for the Sigma Computing/Databricks strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Databricks platform and Sigma. Deepen and Expand Stakeholder Relationships: Cultivate and maintain robust technical relationships with key personnel at Databricks, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping. Joint Go-to-Market (GTM) Enablement and Execution: Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos). Platform Integration and Future-Proofing: Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and development. Cross-Functional Technical Subject Matter Expert (SME): Act as the internal authority on the Databricks platform, providing expert technical guidance and training to Sigma's Sales Engineering, Product, and Engineering teams on best practices for leveraging Databricks features in conjunction with Sigma. Own the creation and maintenance of technical resources for the field, including deep-dive enablement sessions (e.g., HOLs, workshops). Content and Event Technical Leadership: Lead the technical creation of joint thought-leadership content, including webinars, blogs, solution briefs, demo vignettes, and presentations for major industry events (e.g., Data and AI Summit, Data and AI World Tours). Coordinate with Sigma’s Marketing and Demo Engineering teams to ensure high-quality technical representation at all joint GTM activities. Advanced Solution Development: Identify, design, and evangelize high-value, industry-specific technical solutions leveraging the combined capabilities of Sigma and Databricks, working with internal teams, Systems Integrator partners, and Databricks Industry Leads and Field CTOs to package these solutions for field consumption. Qualifications: 5+ years of experience in a highly technical customer-facing or partner-focused role, such as Technical Alliance Management, Solution Engineering, Product Management, or Technical Consulting. Deep and current hands-on experience with the Databricks Data Intelligence Platform is mandatory. Proven understanding of its core architecture, features, and ecosystem integrations. Strong technical background in data analytics, data warehousing, business intelligence, and cloud data platforms. Prior Data Engineering and Front-End Software Development experience is preferred. Prior experience working with BI and Analytics platforms is required; experience with Sigma Computing is a plus. Proven ability to develop and maintain strong, mutually beneficial technical relationships with key stakeholders at major partner organizations (e.g., Product, Engineering, Partner Sales). Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, compelling business value for both technical and non-technical executive audiences. Demonstrated ability to be a self-starter who thrives in a fast-paced, high-growth startup environment and can manage multiple priorities independently. Willingness to travel up to 50% of the time for partner and customer engagements, and company/industry events. 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.

Full job record

Job IDd9e4f5e1f046fc0938f71f563945e7131df2c433
Org ID59e001ba-fe6b-430e-9901-47e96eedcbb6
Source IDaedcf5bd-cb2a-414a-8038-66a7a82361a2
Board IDaedcf5bd-cb2a-414a-8038-66a7a82361a2
Providergreenhouse
Provider Job Key7721534003
Title Senior Partner Engineer, Databricks Alliance
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentPartnerships
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/sigmacomputing/jobs/7721534003
Apply URLhttps://job-boards.greenhouse.io/sigmacomputing/jobs/7721534003
First Seen At2026-05-29 22:42:36Z
Last Seen At2026-06-06 07:34:32Z
Last Checked At2026-06-06 07:34:32Z
Last Changed At2026-05-29 22:42:36Z
Inactive At
Source Posted At2026-05-01 20:15:55Z
Source Updated At2026-05-01 20:15:55Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=sigmacomputing/date=2026-06-06/2026-06-06T07-34-32-555Z-991b7ab51c31b7e071eba01a46d2b0f404fb8982115d37e48ea82a53774b958d.json
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Extensions
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Native Structured
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