At a glance
- Experience
- 8+ years experience
- Location
- Zürich
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.
About the role
- As a Sr. Delivery Solutions Architect at Databricks, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers.
- You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas.
Responsibilities
- Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas
- Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders
- Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy
- Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes
- Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence
- Drive adoption, consumption, and measurable business outcomes through technical strategy and execution
- Lead complex technical escalations spanning multiple systems, teams, or workloads
- Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions
- Mentor DSAs and contribute to technical enablement, specialization, and thought leadership
Requirements
- 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role
- Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments
- Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams
- Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures
- Strong coding proficiency in Python, SQL, Scala, or similar languages
- Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments
- Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation
- Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations
- Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
Preferred qualifications
- Databricks experience or certification
- Recognized expertise in a Data and AI specialization or competitive technology
- Experience influencing product direction through structured customer feedback
- External technical thought leadership through blogs, conferences, summits, seminars, or industry events
- Experience mentoring technical talent or leading enablement across teams or regions
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees
Skills
- Python
- SQL
- Scala
- Databricks
- Distributed Data Systems
- Cloud Architectures
