As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics, and AI challenges into high-impact business value.

You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement.

Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value.

They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement.

DSAs focus on:

• Designing secure, scalable architecture

• Aligning people, processes, and technology

• Establishing trusted advisor relationships

• Leveraging the broader ecosystem of Databricks experts

This is a hybrid technical and commercial role.

Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases.

This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc.

In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.

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 organization.

The impact you will have:

• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices, and enablement

• 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 internal point of contact for any questions related to production/go live status of agreed-upon use cases within an account, often for multiple use cases within the largest and most complex organizations

• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise

• Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

• Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs

• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production

• Enablement/user growth plan

• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)

• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)

• Executive and operational governance

• Provide internal and external updates

• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression

• to your Technical GM

• Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs, presenting them to the customers when applicable for their ongoing developments

• internal and external updates

• KPI reporting on the status of usage and customer health, risks, and blockers, product adoption, and use case progression

• to your Field Engineering leadership

What we look for:

• 6-10 years of experience where you have been accountable for delivery of projects in Data, Analytics, or AI and where you can contribute to technical debate and design choices with customers

• Programming experience in PySpark, SQL, or Scala

• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems

• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles

• Understanding of how to attribute business value and outcomes to specific project deliverables

• Technical program coordination including account and stakeholder management

• Experience resolving complex and important escalation with senior customer technical stakeholders

• Track record of overachievement against quota, goals, or similar objective targets

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

• Can travel up to 30%

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.

To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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 performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised 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 assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute 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 distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of 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 experience through work experience
• Can travel up to 30% when needed

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You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan.

The impact you will have:

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised 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 assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
• You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organisations.
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimisation
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our 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 distributed data systems
• A understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets

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This role blends deep technical leadership with strategic customer engagement. You will own the post-sales technical strategy for the customer’s highest-value use cases and serve as their primary advisor across the Databricks platform.

Key responsibilities include:

• Being the accountable Databricks Architect for your assigned customers, working with technical teams to guide priority use cases from design through go-live,removing blockers, providing best practices, and ensuring stable, scalable adoption.
• Leading 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.
• Owning 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.
• Serving as the first point of contact for production/go-live status, often across multiple complex use cases within large enterprise organisations.
• Orchestrating the broader Databricks ecosystem,Shared Services, User Education, Onboarding/Technical Services, Support, and specialist technical teams,to ensure high-quality delivery and escalate advanced issues when needed.
• Creating and executing a point of view for accelerating use cases into production, collaborating with Professional Services on proposals as needed.
• Partnering with Product and Engineering to introduce new capabilities, private previews, and upgrade paths that support customer roadmaps.

Requirements include:

• 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.
• Bachelor’s 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%.

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As a DSA, you will help ensure customer success by driving focus and technical accountability to our most complex customers who need guidance to accelerate consumption on Databricks workloads that they have already selected. This is a hybrid technical and commercial role. It is commercial in the sense that you will be required to own and drive growth in your assigned customers and use cases through leading your customers' stakeholders, owning executive relationships and creating and driving plans and strategies for Databricks colleagues to execute upon.

This is in parallel to being technical, with expectations being that you become at least Level 200 across all Databricks products/workloads and that you become the Use Case-specific technical lead post Technical Win. You will bring strong executive relationship management skills and high levels of technical credibility to effectively engage and communicate at all levels with an organization, in particular with a track record of building strong relationships with the customers' executives and C-suite, elevating the conversation, and helping them realize the value of Databricks.

You will report directly to a Director, Field Engineering, as part of your Business Unit's Technical GM organization. You will play a key role in establishing the fundamental assets and best practices within the DSA team, mentoring other DSAs and wider account team members within your region, helping them develop personally, professionally and to further their careers.

The impact you will have:

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
• Own the Post-Technical Win technical account strategy and investment plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty/ambiguity and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
• Be the first point of contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.
• Leverage both Shared Services of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.
• Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).
• Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:

• Key use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of LH vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Proactively provide internal and external updates
• KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression to your Technical GM
• Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised 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 assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute 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 distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of 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 experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role that requires you to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be responsible for becoming the post-sale technical lead across all Databricks products and using your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
• Executive and operational governance
• Providing internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Key qualifications include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute 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 distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. You will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be the post-sale technical lead across all Databricks products, requiring you to use your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, often services multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from 'win' to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g., cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Requirements include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute 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 distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

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