Sr. Solutions Architect

Databricks is hiring a Sr. Solutions Architect in San Francisco and Seattle, United States. It pays $219k-$301k a year and Level rates it ; you can apply on Level.

AI in this role

Senior Solutions Architect driving technical strategy and wide adoption of ML and AI products for key enterprise accounts.

pythonrscalajava

mlaibig-datacloudvalue-sellingtechnical-account-management

Location: Seattle, WA or San Francisco Bay Area, CA

REQ ID - FEQ427R648

Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals.

Outcomes

You work with multiple clients as the main technical voice for Databricks.
You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You implement the technical strategy in the account, in close understanding of the strategy.
You build a movement of technical champions within the account.
You align technical strategies around Databricks solutions.
You provide structured mentorship for other team members.
Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
Experience working very large (> $1m ARR), global accounts.
Form relationships with executives and influencers.
Present a convincing point-of-view to important decision-makers that leads them down a path of success.
Technical in big data, data science and cloud.
An ability in data-driven business transformation, and driving change with data.
Production programming experience in Python, R, Scala or Java
Nice to have: Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range$219,100—$301,300 USDZone 2 Pay Range$219,100—$301,300 USDZone 3 Pay Range$219,100—$301,300 USD

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.

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.

How we rate this

Sr. Solutions Architect at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Sr. Solutions Architect is an open job at Databricks.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $219k-$301k a year.
The role is based in San Francisco, California; Seattle, Washington.
The job was posted on October 9, 2026.
Seniority: senior.
Applications are handled by Databricks. Apply on Databricks

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

MLAIBig DataCloudValue SellingTechnical Account ManagementPythonR

Questions you could be asked

Tell me about a project where ml was part of your work. What did you do?
Tell me about a project where ai was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where cloud was part of your work. What did you do?
Tell me about a project where value selling was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML, AI, Big Data, Cloud, and Value Selling. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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