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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.
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.
What we look for- 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.
About Databricks
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. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Our Commitment to Diversity and Inclusion
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 5+ years of experience in customer enablement, talent transformation, training, customer success, consulting, or managing a book of business
- Demonstrated ability to personally design, build, and deploy working prototypes, automation tools, or technical applications
- Experience creating and leading enablement programs in partnership with Sales and technical teams
- Experience with Big Data, AI, data science, cloud platforms, or enterprise technology
- Ability to understand technical curricula and certification requirements
- Strong customer and executive engagement skills, including discovery, stakeholder management, presentation, facilitation, and navigating ambiguity
- Ability to connect technical skill outcomes to P&L levers and collaborate with Sales on strategic account planning
- Experience operating across Australia and New Zealand markets
- Strong operational discipline and willingness to travel as needed
- Experience with technical solutioning or building tools
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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