Databricks: Customer Enablement Architect (Capability Engineering & AI Adoption) — Sydney, Australia

Databricks lists a Customer Enablement Architect (Capability Engineering & AI Adoption) opening in Sydney, Australia. The job description covers Excel, AI, compliance, sales, training, stakeholder management, communication.

Recruitment overview

OrganisationDatabricks
Post / roleCustomer Enablement Architect (Capability Engineering & AI Adoption)
DepartmentEducation & Training
Employment typeNot specified
Notification / job ID8792853002
Job locationSydney, Australia
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required5+ years of demonstrated experience in Customer Enablement, Talent Transformation, Training, Customer Success, Consulting, or managing a book of business
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 (Capability Engineering & AI Adoption) in Sydney, Australia, under reference 8792853002. 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

  • Work: with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals
  • Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery
  • Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans
  • Management: and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams
  • Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally
  • Identify capability gaps that may affect platform adoption and work with account teams on targeted interventions, including contextual or just-in-time enablement where it improves customer outcomes

Essential requirements and candidate background

  • 5+ years of demonstrated experience in Customer Enablement, Talent Transformation, Training, Customer Success, Consulting, or managing a book of business
  • Hands-on Builder Mindset: A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps
  • Experience creating and leading enablement programs in partnership with Sales and technical teams to deliver customer outcomes
  • Experience: Big Data, AI, Data Science, cloud platforms, or enterprise technology, with the ability to understand technical curricula and certifications
  • Customer and executive engagement skills, including discovery, stakeholder management, presentation, facilitation, and navigating ambiguity
  • Commercial & Business Insight: Ability to connect technical skill outcomes to core P&L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning
  • Experience operating across ANZ markets, operational discipline, and willingness to travel as needed

Preferred experience and additional strengths

  • Experience: technical solutioning or building tools is a plus

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.

  • Advertised location: Sydney, Australia

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 (Capability Engineering & AI Adoption) vacancy is not an offer for reference 8792853002; 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 8792853002.

Compare your qualifications and experience with the essential conditions for the Sydney, Australia 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
  • sales
  • training
  • stakeholder management
  • communication
  • commercial negotiations

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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