Delivery Solutions Architect

Zürich - Switzerland

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

CSQ127R76

This role can be based in either Zurich or remotely in Switzerland.

At Databricks we empower our customers to solve the worlds toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA) you are a trusted technical advisor embedded within the customer organisation. You work closely with sales and field engineering to accelerate adoption and growth of the Databricks platform. You ensure customer success by providing technical accountability for our most complex customershelping them maximise the value of Databricks workloads they have already selected and improving their return on investment.

This role blends deep technical leadership with strategic customer engagement. You own the post-sales technical strategy for the customers highest-value use cases and serve as their primary advisor across the Databricks platform. You engage senior technical and business leaders with strong architectural judgmentdriving design reviews performance and cost optimisation product adoption and rapid blocker parallel you drive account growth by ensuring alignment with architectural best practices and measurable value realisationbuilding executive alignment leading stakeholders orchestrating specialised Databricks teams and steering customers toward scalable production-grade architectures.

While not a hands-on-keyboard role this is a highly technical position where architectural skills in fields such as data architecture data engineering data warehousing or data science are essential.

You will report directly to a DSA Manager within the Field Engineering organisation.

The impact you will have

Be the accountable Databricks Architect for your assigned customers working with technical teams to guide priority use cases from design through go-liveremoving blockers providing best practices and ensuring stable scalable adoption.
Lead the post-technical-win strategy and execution plan for major Databricks use cases aligning with Solutions Architects to understand full demand plans and drive clarity across multiple selling teams and stakeholders.
Own the technical leadership of assigned use cases creating certainty from ambiguity and coordinating onboarding enablement success go-live and healthy consumption of workloads selected for Databricks.
Serve as the first point of contact for production/go-live status often across multiple complex use cases within large enterprise organisations.
Orchestrate the broader Databricks ecosystemShared Services User Education Onboarding/Technical Services Support and specialist technical teamsto ensure high-quality delivery and escalate advanced issues when needed.
Create and execute a point of view for accelerating use cases into production collaborating with Professional Services on proposals as needed.
Partner with Product and Engineering to introduce new capabilities private previews and upgrade paths that support customer roadmaps.
Develop and manage a unified technical execution plan covering:

progression of priority use cases from technical win through production
user enablement and growth
product adoption aligned with the Lakehouse vision
cloud cost control tuning and optimisation
executive and operational governance

Provide clear internal and external updates including KPI reporting on usage customer health investment status risks product adoption and use case progression.

What we look for

Programming experience in Python SQL or Scala and a solid understanding of distributed data systems.
5 years of experience delivering Data Analytics or AI projects with the ability to contribute to architectural discussions with customers.
Experience in customer-facing technical roles such as technical architecture pre-sales consulting or customer success.
Ability to guide architectural decisions in domains such as data engineering data architecture data warehousing or data science.
Demonstrated ability to drive delivery outcomes without hands-on keyboard responsibilities.
Experience resolving complex escalations with senior customer stakeholders.
Understanding of how to connect technical deliverables to business value.
Track record of achieving or exceeding goals or objectives.
Bachelors degree in Computer Science Information Systems Engineering or equivalent experience.
Fluency in English is required; French or German language skills are a plus.
Ability to travel up to 30%.

CSQ127R76This role can be based in either Zurich or remotely in Switzerland.At Databricks we empower our customers to solve the worlds toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA) you are a trusted technical advisor embedded within th...

CSQ127R76

While not a hands-on-keyboard role this is a highly technical position where architectural skills in fields such as data architecture data engineering data warehousing or data science are essential.

You will report directly to a DSA Manager within the Field Engineering organisation.

The impact you will have

Be the accountable Databricks Architect for your assigned customers working with technical teams to guide priority use cases from design through go-liveremoving blockers providing best practices and ensuring stable scalable adoption.
Lead the post-technical-win strategy and execution plan for major Databricks use cases aligning with Solutions Architects to understand full demand plans and drive clarity across multiple selling teams and stakeholders.
Own the technical leadership of assigned use cases creating certainty from ambiguity and coordinating onboarding enablement success go-live and healthy consumption of workloads selected for Databricks.
Serve as the first point of contact for production/go-live status often across multiple complex use cases within large enterprise organisations.
Orchestrate the broader Databricks ecosystemShared Services User Education Onboarding/Technical Services Support and specialist technical teamsto ensure high-quality delivery and escalate advanced issues when needed.
Create and execute a point of view for accelerating use cases into production collaborating with Professional Services on proposals as needed.
Partner with Product and Engineering to introduce new capabilities private previews and upgrade paths that support customer roadmaps.
Develop and manage a unified technical execution plan covering:

progression of priority use cases from technical win through production
user enablement and growth
product adoption aligned with the Lakehouse vision
cloud cost control tuning and optimisation
executive and operational governance

Provide clear internal and external updates including KPI reporting on usage customer health investment status risks product adoption and use case progression.

What we look for

Programming experience in Python SQL or Scala and a solid understanding of distributed data systems.
5 years of experience delivering Data Analytics or AI projects with the ability to contribute to architectural discussions with customers.
Experience in customer-facing technical roles such as technical architecture pre-sales consulting or customer success.
Ability to guide architectural decisions in domains such as data engineering data architecture data warehousing or data science.
Demonstrated ability to drive delivery outcomes without hands-on keyboard responsibilities.
Experience resolving complex escalations with senior customer stakeholders.
Understanding of how to connect technical deliverables to business value.
Track record of achieving or exceeding goals or objectives.
Bachelors degree in Computer Science Information Systems Engineering or equivalent experience.
Fluency in English is required; French or German language skills are a plus.
Ability to travel up to 30%.