Sr. Delivery Solutions Architect - AI Native

Databricks is the Data and AI company, serving more than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — with its Data + AI Platform (Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, Unity Catalog). Headquartered in San Francisco with 30+ offices around the globe.

As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform into one of our largest AI native customers. This is a hybrid technical and commercial role: you will drive growth in your account by leading customer stakeholders, building executive relationships, and orchestrating specialized teams, while also serving as the post-sale technical lead across all Databricks products. You will report directly to a DSA Manager within the Field Engineering organization.

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams, driving onboarding, enablement, success, go-live and healthy consumption
• Serve as first contact for technical issues or questions related to production/go-live status of agreed use cases
• 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 accelerating key use cases into production, coordinating with Professional Services on PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
• Develop an execution plan covering all customer-facing technical roles and teams, including use case progression, enablement, product adoption, organic needs (e.g., cloud cost control, tuning & optimization), and executive/operational governance
• Provide internal and external KPI reporting on usage and customer health to your Technical GM

• 7+ years of experience accountable for technical project/program delivery in Data and AI, contributing to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Ability to attribute business value and outcomes to specific project deliverables
• Technical program/project management including account, stakeholder and resource management accountability
• Experience resolving complex escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, business analysis, and managing complex programmes/projects
• Track record of overachievement against quota, goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
• Can travel up to 30% when needed

Compensation: Local Pay Range $219,100—$301,300 USD. Actual compensation packages are based on factors unique to each candidate, including job-related skills, depth of experience, relevant certifications and training, and specific work location. The total package may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Benefits: Databricks strives to provide comprehensive benefits and perks; specific details vary by region.

Application: Apply via the Databricks careers job posting. Databricks is committed to fostering a diverse and inclusive culture and considers applicants without regard to protected characteristics.