Delivery Solutions Architect

At

Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data

Intelligence Platform. 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.

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, 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

• Programming experience in PySpark, Python and Databricks (or similar data

platform)

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

systems

• 5+ 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

• 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 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.

​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.

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.

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.​