Customer Enablement Architect (Capability Engineering & AI Adoption)
Leads customer enablement and talent-transformation programs across Australia and New Zealand, translating customer outcomes into training, certification, and adoption plans for the Databricks Lakehouse and generative AI platform. Blends technical fluency, executive engagement, and commercial ownership of training bookings, revenue, and adoption metrics.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- 5+ years of demonstrated experience in Customer Enablement, Talent Transformation, Training, Customer Success, Consulting, or managing a book of business
- 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 and business insight: connect technical skill outcomes to P&L levers, influence renewals/expansions, and collaborate with sales on strategic account planning
- Experience operating across ANZ markets, strong operational discipline, and willingness to travel as needed
Nice to have
- Experience with technical solutioning or building tools
Full description
CSQ427R440
The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively 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. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution.
You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training.
The impact you will have
- 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.
Technical context you will support
You will help customers build capability across areas such as:
- Lakehouse architecture, data engineering, ETL, data governance, and data quality
- Databricks training, certifications, and foundational onboarding experiences
- Generative AI, agentic workflows, Databricks Apps, Genie, and Lakeflow
- Translating technical adoption needs into accessible enablement and talent-transformation programs
You do not need to be a principal engineer. You should be able to hold a credible technical conversation, understand curriculum and certification requirements, and recommend the right enablement path. Experience creating a prototype, automation, or technical tool is valuable but not required.