Senior Solutions Architect, Retail

Full Timesenior

West Coast - United StatesPosted 11 days ago

Role Overview

Databricks is hiring a Senior Solutions Architect, Retail. This is a full-time role in West Coast -. posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

P-256

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most 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 the Retail and CPG space.

The impact you will have:

You will work with 1-5 clients as the main technical voice for Databricks
You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You will implement the technical strategy in the account, in close understanding of the strategy
Build a movement of technical champions within the account
Align technical strategies around Databricks solutions
You will provide structured mentorship for other team members

What we look for:

8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
5+ years working in a pre-sales capacity or supporting sales activity
Technical in big data, data science, and cloud
An ability in data-driven business transformation and driving change with data
3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
Maintain and extend production data systems to evolve with complex customer needs
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.

Local Pay Range

$139,900—$247,300 USD

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.

About Databricks

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Frequently Asked Questions

How do I apply for the Senior Solutions Architect, Retail position at Databricks?

Use the Apply button above to submit your application directly to Databricks. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Solutions Architect, Retail position at Databricks located?

This position is based in West Coast -. Databricks has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Solutions Architect, Retail at Databricks earn?

Databricks has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Solutions Architect, Retail role at Databricks posted?

This role was posted on July 1, 2026 (11 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Solutions Architect, Retail role at Databricks require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Databricks lists their specific requirements in the description below, so review the must-have qualifications closely before applying.