Director, Field Engineering - Financial Services

FEQ327R500

As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges.

Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations.

• Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects.
• Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture and a first principles mindset
• Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts.
• Promote a solution and value-based selling field-engineering organization.
• Display an understanding of business needs and revenue potential for accounts in the assigned region.
• Be a thought leader for Databricks and in the Data and AI ecosystem.

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 $218,400—$300,300 USD

• At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider.
• Ability to elevate engagement, with a track record of driving large transactions and high-growth customers.

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.

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.