Delivery Solutions Architect

At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform. You will also help ensure customer success by providing technical accountability for complex customers. Responsibilities

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for majority of Databricks use cases within strategic accounts
• Serve as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption
• Act as first contact for any technical issues or questions related to production/go-live status of agreed use cases within an account
• Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, escalating to expert-level technical experts as needed
• Create, own and execute a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services on delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
• Develop an execution plan covering all activities of customer-facing technical roles to include:
• Main use cases moving from win’ to production
• Enablement/user growth plan
• Product adoption strategy to increase adoption of the Lakehouse vision
• Optimisation of current investment (cloud cost control, tuning)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on usage, customer health, product adoption, and use case progression - to the Technical GM

• 5+ years of experience delivering technical projects/programs in Data and AI, contributing to technical debates and design choices with customers
• Experience programming in Python or Spark
• Background in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture for distributed data systems
• Ability to attribute business value and outcomes to specific project deliverables
• Experience in technical program or project management, including account, stakeholder and resource management
• Track record of handling complex, high-level escalations with senior customer executives
• Experience delivering open-ended discovery workshops, strategic roadmaps, business analysis and complex program delivery
• Track record of overachievement against quota or similar objective targets
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent through work experience
• Willingness to travel up to 30% when needed

Databricks offers comprehensive benefits and perks that meet the needs of all employees. Specific details on benefits are available for your region. EEO Statement