Solutions Architect

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Location: San Francisco Bay Area, California

REQ ID FEQ127R103

Mission

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, leading to more 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 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 high tech and manufacturing sectors.

Outcomes

• Work with multiple clients as the main technical voice for Databricks.
• Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy.
• 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.
• Provide structured mentorship for other team members.
• Gain the respect of peers based on experience, insight, and contributions.

Competencies

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

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. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks anticipates utilizing the full width of the range.

Zone 1 Pay Range: $161,300 - $225,800 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.

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, please visit our benefits portal.

Our Commitment to Diversity and Inclusion

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 or 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

Seniority level

Mid Senior level

Employment type

Full time

Job function

Engineering and Information Technology

Industries

Software Development