[Hiring] Senior Customer Enablement Architect @Databricks

Role Description

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.

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.

Qualifications

• 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.

Requirements

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: $115,000 — $158,050 USD

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 .

Company Description

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.