Sr. Delivery Solutions Architect - Digital Native Business

About the Role

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 Sr. Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. This is a hybrid technical and commercial role, where you will drive growth in assigned customers, build executive relationships, and ensure technical accountability for complex customers.

Responsibilities

• 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 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 the first contact for technical issues or questions related to production/go-live status of agreed-upon use cases.
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert-level technical experts when needed.
• Create and execute a point-of-view on accelerating key use cases into production, coordinating with Professional Services (PS) resources.
• 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 and teams, including:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption strategy and activities
• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates, including KPI reporting on usage, customer health, investment status, risks, product adoption, and use case progression.

Requirements

• 7+ years of experience in technical project/program delivery within Data and AI domains, contributing to technical debates and design choices with customers.
• Programming experience in Python, SQL, or Scala.
• Experience in customer-facing roles such as pre-sales, technical architecture, customer success, or consulting.
• Understanding of solution architecture for distributed data systems.
• Ability to attribute business value and outcomes to project deliverables.
• Technical program or project management experience, including account, stakeholder, and resource management.
• Experience resolving complex escalations with senior customer executives.
• Track record of conducting discovery workshops, creating strategic roadmaps, and managing complex program deliveries.
• History of overachievement against quotas, goals, or similar targets.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
• Willingness to travel up to 30% when needed.

Pay

The pay range for this role is $219,100—$301,300 USD. Actual compensation packages are based on factors such as job-related skills, experience, certifications, and location. The total compensation package may include eligibility for annual performance bonus, equity, and benefits.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide, including 70% of the Fortune 500, rely on the Databricks Data + AI Platform to build and scale data and AI applications. Headquartered in San Francisco with 30+ offices globally, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

Benefits

Databricks strives to provide comprehensive benefits and perks tailored to employee needs. For specific details on benefits offered in your region, visit our benefits page.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. We consider applicants 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 job duties, it is within Databricks' discretion whether to apply for a U.S. government license. Databricks may decline to proceed with an applicant based on this consideration alone.