--- title: 'Director, Strategic Partnerships at Databricks' canonical: 'https://feeny.ai/job/director-strategic-partnerships-databricks-new-york-5ztgss014kdt' type: 'job' last_seen: '2026-10-17' --- # Director, Strategic Partnerships at Databricks - **Company:** Databricks - **Location:** New York, NY / San Francisco, CA / Seattle, WA / United States - **Compensation:** $219k–$335k - **Work type:** remote - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-17 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=7795026002 ## Job description RDQ425R38 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our mission is to simplify and democratize data and AI so that every organization can put them to work. Design is central to that mission. We turn powerful, complex technology into clear, accessible, and trustworthy experiences that open advanced capabilities to all kinds of users. The Strategic Partnerships team is responsible for establishing and developing deep, long-term alliances with the world’s most important technology companies in the Data & AI ecosystem. We focus on CEO-priority partnerships that have the potential to be highly impactful to the Databricks business. As the Director, Strategic Partnerships, you will be a key team member structuring strategic partnerships with leading cloud hyperscalers and Neoclouds. You will collaborate with internal stakeholders including product, engineering, sales, and finance to develop and optimize strategic partnerships, with an emphasis on growth and business economics. You will develop relationships with our strategic partners’ decision makers and identify opportunities for win-win collaboration. This job is fast-paced, cross-functional, and requires strong communication, prioritization, organization, and presentation skills. You must have deep subject matter expertise in cloud computing consumption-based business models and technologies. You also must have at least 7+ years of business development experience negotiating bespoke, non-programmatic deals. The impact you will have: - Develop and negotiate partnerships that drive long-term growth of the Databricks business, deliver innovation and value for our customers, and create value for strategic partners. - Collaborate cross-functionally with product, engineering, finance, sales, and marketing stakeholders to develop strategic partnership objectives. - Build deep relationships with stakeholders in partner organizations to align their business objectives for win-win outcomes. - Influence product and engineering decisions by providing data-driven insights and qualitative analysis supporting the partnership opportunity. - Develop KPIs to define, measure, and drive success of partnerships. - Work closely with the VP, Strategic Partnerships and Databricks executive team to scale thought leadership for new opportunities. What we look for: - Minimum of 7+ years of experience in business development, corporate development, or consulting. - Proven track record negotiating highly bespoke commercial arrangements with C-suite level counterparties. - Strong analytical skills, with proficiency in developing first-principles and data-driven business cases and strategic plans using a variety of tools. - Strong understanding of GTM and sales motions that drive partnership success. - Excellent communication and presentation skills, capable of distilling complex analyses into clear messaging for executives and stakeholders. - Strong judgment, ownership, and cross-functional leadership. - Ability to drive deal processes autonomously as the deal lead. - Strong bias for action mindset with the ability to make an impact in a face-paced environment. - MBA degree or a related field; or equivalent business experience. - Bachelor’s degree in Computer Science, Engineering, or a related field; or strong, proven technical aptitude. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 1 Pay Range $243,600—$334,950 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Zone 2 Pay Range $219,300—$301,500 USD ## About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). ## Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. 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