Databricks: Customer Enablement Architect — United States

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Customer Enablement Architect in United States, under reference 8593373002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Education & Training
• Employer listing date: 29 September 2026

Responsibilities and work described

• 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
• Leadership: the end-to-end lifecycle of customer training programs—from discovery and design through execution and post-program analysis
• Research / execution: learning diagnostics to identify skill gaps and adoption blockers, using data to design impactful training strategies
• Delivery: high-quality, blended learning experiences (virtual, classroom, and on-demand) that achieve measurable customer outcomes
• Tracking: 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

Essential requirements and candidate background

• 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
• 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
• Track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space
• Quota carrying experience is required
• Deep understanding of the Americas enterprise landscape, industry verticals, and cultural nuances in driving customer engagement and training adoption
• Background in program management, enablement strategy, and learning & development design
• Influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI
• Communication, relationship building, and consultative sales skills with fluency in English
• Results-driven mindset with the ability to balance customer satisfaction and revenue goals
• Learn new technologies quickly and apply creative solutions to territory-specific customer roadblocks
• Track record of identifying regional whitespace and building scalable enablement frameworks that influence the broader organization
• Pay Range Transparency
• Zone 1 Pay Range
• $143,700 — $197,550 USD
• Zone 2 Pay Range
• $129,300 — $177,750 USD
• Zone 3 Pay Range
• $122,200 — $167,950 USD
• Zone 4 Pay Range

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• 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
• Advertised location: United States

Benefits mentioned by the employer

• 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

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Customer Enablement Architect vacancy is not an offer for reference 8593373002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8593373002.

Compare your qualifications and experience with the essential conditions for the United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Excel

Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.

Relevant skills

• AI/ML
• Excel
• AI
• compliance
• investment
• sales
• training
• stakeholder management
• communication