CSQ128R2
Mission:
At Databricks, we’re on a mission to help data and AI teams solve the world’s toughest problems and that starts with empowering our customers.
The Customer Enablement team drives this mission forward by helping enterprise organizations develop the skills they need to accelerate adoption, transformation, and measurable business outcomes. As a Customer Enablement Architect, you’ll own the commercial success of Databricks’ training and enablement portfolio across the Americas Business Units.
Reporting to the Americas Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts.
This is a highly visible, customer-facing role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. You’ll work closely with account executives, engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. From diagnosing skill gaps to building tailored enablement roadmaps, you’ll ensure our customers have the knowledge and confidence to realize the full value of their Databricks platform.
The impact you will have:
- Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit.
- Partner with sales and customer success teams to position learning as a key lever of customer adoption, renewal, and expansion.
- Translate customer goals into tailored enablement programs that accelerate transformation and ROI.
- Lead the end-to-end lifecycle of customer training programs—from discovery and design through execution and post-program analysis.
- Conduct learning diagnostics to identify skill gaps and adoption blockers, using data to design impactful training strategies.
- Deliver high-quality, blended learning experiences (virtual, classroom, and on-demand) that achieve measurable customer outcomes.
- Track and report on enablement success metrics, including adoption, renewal influence, and revenue impact.
- Mentor colleagues across the Learning & Enablement organization, sharing best practices and driving excellence in customer engagement.
What we look for:
We are looking for a 'Builder'—someone who pairs a deep curiosity for the evolving Data & AI landscape with a relentless drive for execution. You don't just deliver existing programs; you identify whitespace and pilot creative enablement strategies that challenge the status quo. You will transform vision into reality by staying curious about customer roadblocks and innovating new ways to bridge the gap between technical potential and tangible business value.
- Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space.
- Deep understanding of the Americas enterprise landscape, industry verticals, and cultural nuances in driving customer engagement and training adoption.
- Strong background in program management, enablement strategy, and learning & development design.
- Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI.
- Excellent communication, relationship building, and consultative sales skills with fluency in English.
- Results-driven mindset with the ability to balance customer satisfaction and revenue goals.
- Demonstrated ability to learn new technologies quickly and apply creative solutions to territory-specific customer roadblocks.
- Proven track record of identifying regional whitespace and building scalable enablement frameworks that influence the broader organization.
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 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
- Proven track record of selling and implementing learning solutions into enterprise accounts
- Deep understanding of the Americas enterprise landscape and cultural nuances
- Strong background in program management and enablement strategy
- Demonstrated ability to influence executive stakeholders
- Excellent communication and consultative sales skills
- Results-driven mindset balancing customer satisfaction and revenue goals
- Demonstrated ability to learn new technologies quickly
- Proven track record of identifying regional whitespace and building scalable enablement frameworks
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.
