Solutions Architect

REQ  - FEQ
426R652

Location:

Ohio, Illinois, Western Pennsylvania. We are open to remote candidates in other locations across the CENTRAL US.

We are seeking experienced pre‑sales professionals with a proven track record of helping large enterprises become more data‑driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and most important accounts, driving widespread use of our products and deeper adoption of ML & AI. You will lean on 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 build proofs of concept and demonstrate Databricks' products, you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in the High Tech and Manufacturing space.

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
• You implement the technical strategy in the account, in close alignment with the overall 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.
• You gain the respect of your peers based on your experience, insight, and contributions.

• Proficiency at establishing virtual teams and leading them to success within the account.
• Experience working with very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point‑of‑view to decision‑makers that leads them to success.
• Technical expertise in big data, data science, and cloud.
• 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.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role represent the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages depend on factors such as skills, experience, certifications, training, and work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed below.

• Zone 2 Pay Range: $196,200—$274,650 USD
• Zone 3 Pay Range: $196,200—$274,650 USD
• Zone 4 Pay Range: $196,200—$274,650 USD

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.

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, please visit

We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure 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.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development