Synced from Greenhouse · 2h ago

Solutions Architect

DatabricksDallas, Texas; Missouri; Remote - Missouri; Remote - Texas; St. Louis, Missouri; Texas; United StatesPosted Aug 25, 2026Fresh
Solutions ArchitectRemoteSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

$219k–$301k
Compensation
821
Other open Databricks roles
2h ago
Posted
Greenhouse
Applicant system
Job descriptionReq 8407186002

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, with a 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
  • 4+ 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
  • 4+ 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

LI #Remote

 

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
$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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for Databricks can typically expect an online application followed by an initial recruiter screen if the profile aligns with the role. The process may include multiple stages such as a hiring manager conversation, one or more technical or role-specific assessments, and panel interviews covering relevant skills, behavioral fit, and past experience. For technical roles like engineering or data positions, coding exercises or case studies are commonly part of the evaluation, while business or operations roles may involve presentations or scenario discussions. Communication is generally managed through the Greenhouse platform, with updates on status provided by recruiters, though response times vary. Candidates can generally expect to interact with multiple team members throughout, and preparation focused on the specific job description is typically advisable.

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Solutions Architect
Databricks · Dallas, Texas; Missouri; Remote - Missouri; Remote - Texas; St. Louis, Missouri; Texas; United States
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