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About the Role
The Databricks Customer Enablement team aims to upskill data and AI professionals in customer organizations to effectively use Databricks and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand, partnering with various teams to understand customer needs and ensure successful program execution. You will balance strategic customer engagement with program and commercial execution, possessing enough technical depth for credible conversations without delivering hands-on training.
Responsibilities
- 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.
- Manage 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.
Requirements
- 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 in Big Data, AI, Data Science, cloud platforms, or enterprise technology, with the ability to understand technical curricula and certifications.
- Strong 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, strong operational discipline, and willingness to travel as needed.
- Experience with technical solutioning or building tools is a plus.
Skills
- Lakehouse architecture
- Data engineering
- ETL
- Data governance
- Data quality
- Databricks training
- Databricks certifications
- Foundational onboarding experiences
- Generative AI
- Agentic workflows
- Databricks Apps
- Genie
- Lakeflow
- Technical solutioning
- Building tools
- Discovery
- Stakeholder management
- Presentation
- Facilitation
- Navigating ambiguity
Location
- Australia
- New Zealand
Work Type
- Full-time
Experience Level
- 5+ years
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees.
About the Company
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Equal Opportunity
- 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.