CSQ327R141

As a Resident Solutions Architect in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Sr. Manager, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs / Greenfield projects
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 8+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in either Python or Scala.
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20 - 30% of the time
• Nice to have: Databricks Certification

CSQ327R50

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence—and our customers challenge us every day to go further. As Manager, Professional Services for NSW, you will lead a high-performing team of Resident Solutions Architects and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how Australia’s leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. 

As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with ASX100 enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.

The impact you will have:

• Drive regional performance targets—including billable utilisation, team growth, and hiring—while championing delivery excellence and customer success across the ANZ Professional Services portfolio
• Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics
• Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing RSA & AI Engineering practice
• Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution
• Develop and retain exceptional technical talent: mentor Resident Solutions Architects and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth

What we look for:

• 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations—with a proven track record of building excellence-driven cultures
• 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners
• Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy
• Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level
• Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued

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 Sr. Manager, Customer Enablement, you’ll own the commercial success of Databricks’ training and enablement portfolio across the APJ region. This is a highly visible, customer-facing and internal role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. 

You will lead and scale a regional team of enablement experts, fostering a culture of excellence and strategic partnership. You’ll work closely with account executives, Professional Services engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. You will analyze and identify operational efficiencies to optimize the region's overall operational effectiveness. You will further assist in expanding the learner growth by devising strategies with the Customer enablement architect team and APJ Training partners on how to scale Databricks training. 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. 

 This position will be reporting to the Director, Learning and Enablement.

The Impact You Will Have

• People Leadership: Build, mentor, and inspire a high-performing APJ Customer Enablement team, fostering an environment of continuous growth, accountability, and regional pride.
• Strategic Regional Growth: Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts by aligning your team's efforts with the broader APJ business objectives.
• Operational Excellence: Scale the impact of your team by optimizing internal workflows, identifying efficiencies, and ensuring consistent, high-quality delivery of enablement programs across diverse markets.
• Collaborative Influence: Partner with sales and customer success leadership to position learning as a non-negotiable lever for customer adoption, renewal, and expansion.
• Ecosystem Scaling: Strategize with the APJ Director and Customer Enablement Architects to devise strategies for team-led and partner-led growth, ensuring the regional engine is built for scale.
• Outcome Management: Track and report on enablement success metrics, translating team activities into measurable business impact, including adoption rates and revenue influence.

What We Look For

• Proven People Management: Significant experience leading, coaching, and developing customer-facing or professional services teams within the APJ region.
• Leadership Maturity: A demonstrated ability to manage through others, drive team engagement, and navigate the complexities of regional talent management and organizational change.
• Sales & Enablement Expertise: Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space.
• Partner Strategy: Experience managing Training partners across APJ and executing impactful partner strategies to drive scale through an indirect delivery model.
• APJ Market Depth: Deep understanding of the APJ enterprise landscape, industry verticals, and cultural nuances. Lived experience managing diverse teams across this geography is essential.
• Operational Rigor: A strong background in training operations and program management is non-negotiable; you should be comfortable building the "playbook" as well as executing it.
• Executive Presence: Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI.
• Communication: Excellent relationship-building and consultative skills with fluency in English.

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 Sr. Manager, Customer Enablement, you’ll own the commercial success of Databricks’ training and enablement portfolio across the APJ region. This is a highly visible, customer-facing and internal role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. 

You will lead and scale a regional team of enablement experts, fostering a culture of excellence and strategic partnership. You’ll work closely with account executives, Professional Services engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. You will analyze and identify operational efficiencies to optimize the region's overall operational effectiveness. You will further assist in expanding the learner growth by devising strategies with the Customer enablement architect team and APJ Training partners on how to scale Databricks training. 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. 

 This position will be reporting to the Director, Learning and Enablement.

The Impact You Will Have

• People Leadership: Build, mentor, and inspire a high-performing APJ Customer Enablement team, fostering an environment of continuous growth, accountability, and regional pride.
• Strategic Regional Growth: Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts by aligning your team's efforts with the broader APJ business objectives.
• Operational Excellence: Scale the impact of your team by optimizing internal workflows, identifying efficiencies, and ensuring consistent, high-quality delivery of enablement programs across diverse markets.
• Collaborative Influence: Partner with sales and customer success leadership to position learning as a non-negotiable lever for customer adoption, renewal, and expansion.
• Ecosystem Scaling: Strategize with the APJ Director and Customer Enablement Architects to devise strategies for team-led and partner-led growth, ensuring the regional engine is built for scale.
• Outcome Management: Track and report on enablement success metrics, translating team activities into measurable business impact, including adoption rates and revenue influence.

What We Look For

• Proven People Management: Significant experience leading, coaching, and developing customer-facing or professional services teams within the APJ region.
• Leadership Maturity: A demonstrated ability to manage through others, drive team engagement, and navigate the complexities of regional talent management and organizational change.
• Sales & Enablement Expertise: Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space.
• Partner Strategy: Experience managing Training partners across APJ and executing impactful partner strategies to drive scale through an indirect delivery model.
• APJ Market Depth: Deep understanding of the APJ enterprise landscape, industry verticals, and cultural nuances. Lived experience managing diverse teams across this geography is essential.
• Operational Rigor: A strong background in training operations and program management is non-negotiable; you should be comfortable building the "playbook" as well as executing it.
• Executive Presence: Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI.
• Communication: Excellent relationship-building and consultative skills with fluency in English.

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

CSQ227R47

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets