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At Databricks, our core principles are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us in building a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilizing your technical expertise to demonstrate how our Data Intelligence Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
The Databricks enablement team is seeking a Leader of Technical Excellence and Enablement (Field Engineering), who is passionate about empowering people and driving technical excellence. This leader will design and execute strategies that elevate the technical depth of our Field Engineering (FE) organization, enabling teams to build trusted advisor relationships with customers and establish thought leadership in Data & AI.
This role requires deep technical expertise in data and AI, a systems-thinking mindset, and a people-first approach to learning and enablement. You will build and grow a team of technical enablers, creating engaging, scalable programs that deliver measurable impact. Success in this role depends on balancing technical and product knowledge independence with strong cross-functional collaboration with curriculum, credentials, delivery, platform, and regional teams to drive efficiency and alignment.
Key Responsibilities- Develop & Execute Enablement Strategy: Design and implement people-centric, scalable enablement programs that strengthen technical depth across Field Engineering.
- Build & Lead a High-Impact Team: Recruit, develop, and mentor a team of technical enablers, fostering a culture of continuous learning and technical curiosity.
- Drive Thought Leadership: Establish frameworks that position FE as trusted technical advisors and thought leaders in Data & AI.
- Deliver Measurable Impact: Ensure enablement initiatives have clear success metrics and directly contribute to business outcomes.
- Strategic Cross-Functional Partnership: Work closely with curriculum, credentials, platform, and regional teams to optimize enablement efforts.
- Earn Trust with Key Stakeholders: Build credibility with product teams, BU leaders/Tech GMs, and other critical stakeholders to align enablement with business priorities.
- Deep technical expertise in Data & AI, with hands-on experience in AI/ML, cloud, or big data technologies.
- Strong systems thinking mindset to design holistic, scalable enablement programs.
- Ability to partner cross-functionally and influence senior stakeholders across product, sales, and field organizations.
- Proven experience in technical enablement, managing field readiness and role excellence, or Learning and Enablement at scale.
- Passion for enablement and people development, with a focus on fostering technical growth.
- Leadership experience in building and managing high-performing teams.
- Data-driven approach to measuring learning success and continuously improving impact.
- Experience working in Field Engineering, Solutions Architecture, or Technical Pre-Sales roles.
- Prior work in enablement or education strategy within a technical organization.
- Strong executive presence and the ability to communicate complex concepts clearly and concisely.
If you are passionate about empowering people, driving technical excellence, and creating impactful learning experiences at scale, we’d love to hear from you!
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 base 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 anticipated 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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
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Databricks San Francisco, California, USA Office
160 Spear Street, San Francisco, CA, United States, 94105
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