Sr. Delivery Solutions Architect

Databricks · Zürich, Switzerland · Engineering

Posted 2026-10-08

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FEQ128R38

At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, 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.

This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements.

The Impact You Will Have

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

What We Look For

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

Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership

Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements

Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Have

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

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