Sr. Solutions Architect

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

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

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.

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.