Director, Field Engineering - Financial Services

The impact you will have:

• 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.

What we look for:

• 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.
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach.
• Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests.
• Proven track record of transformational success and delivery of customer value.
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing).
• Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform
• Great at instituting processes for technical field members to improve efficiency.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.

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

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.

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.