CSQ227R5
About the Role*This role is required to work in a hybrid office setting in our Bellevue, WA office.
The OpportunityDatabricks runs some of the largest customer enablement programs in the industry — workshops, digital courses, labs, and webinars that reach thousands of users. The Customer Enablement Specialist turns that reach into results. You connect engaged learners to structured training plans that drive product adoption, customer success, and measurable business impact.
This isn’t a sales or business development role — every conversation begins with an existing Databricks user or program participant. Your focus is on helping those customers move from initial interest to tangible capability: skilled teams, completed training milestones, and activated use cases.
You’ll manage a broad portfolio of accounts, supporting new and emerging personas — business users, analysts, and app developers — and helping them succeed with Databricks’ latest innovations in AI/BI, Databricks Apps, and agent-based development.
What You'll Do- Convert participation in Databricks’ scale programs (webinars, workshops, digital learning) into structured training engagements.
- Own a high-volume enablement pipeline — identifying learner needs, recommending tailored paths, and tracking adoption progress.
- Deliver engaging L100–L200 sessions and demos to help new personas understand what’s possible with Databricks.
- Build enablement plans for each account, tracking trained users, completion rates, and milestone achievement.
- Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align training with customer goals and renewal cycles.
- Report key metrics — trained accounts, learner growth, conversion rates, and training revenue — using data to guide your priorities.
- Provide structured feedback to program and curriculum teams to sharpen future customer learning experiences.
- 2–4 years in a technical, customer-facing role — technical training, pre-sales, enablement, or customer success preferred.
- Hands-on familiarity with modern data and analytics platforms (Databricks, cloud SQL, BI tools, or data lakes).
- Confidence delivering introductory technical content to non-expert audiences.
- Working knowledge of AI/ML concepts — able to explain how Databricks enables practical use cases.
- Strong communication skills and a consultative approach: discover needs, recommend paths, and gain commitment.
- A data-driven mindset with strong organizational habits and comfort managing many concurrent accounts.
- Team-first attitude — proactive collaborator who knows when to escalate for deeper technical support.
- Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months).
- Background in SaaS, cloud, or data platforms; familiarity with BI or AI/BI tools (Databricks Genie, Tableau, Power BI).
- Exposure to Databricks Apps, REST APIs, or AI agent concepts.
- Experience in a role with enablement or training-related revenue metrics.
New products create new skill gaps. As Databricks expands into AI/BI, Databricks Apps, and agent-based development, a new wave of users — business analysts, app builders, domain experts — needs to get skilled up quickly. The depth CEA team focuses on the complex, strategic, and deeply technical. This role focuses on the broad middle: high volume, new personas, and the scale-to-commitment motion that turns digital participation into real adoption. It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you build depth and track record.
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.
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 click here.
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.
Skills Required
- Strong operational discipline and attention to detail
- Analytical comfort working with structured and unstructured data
- Experience improving processes or building scalable workflows
- Ability to identify operational inefficiencies using data and structured analysis
- Experience working with dashboards, spreadsheets, and basic analytics
- Ability to build lightweight automations or scripts to reduce manual effort
- Familiarity leveraging AI tools, copilots, and coding assistants
- Ability to create clear visual representations and structured reporting
- Ownership mindset, bias for action, and comfort in a fast-paced technical environment
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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