Job details

Manager, Field Engineering - job 1 of 2

^FEQ426R271

^{Reporting to the Director of Field Engineering for DNB Hunter, the Solutions Architect Manager (SAs) will lead a high-performing team focused on landing and growing new Digital Native (DNB) customers for Databricks. This is a highly technical leadership role requiring deep expertise in data and AI technologies, strong architectural acumen, and the ability to build and develop teams. You will partner closely with Sales and cross-functional stakeholders to drive Greenfield customer acquisition, deliver technical wins, and ensure early customer success. This role blends strategic leadership with hands-on technical engagement, guiding your team through complex customer architectures, driving proof of concepts, and setting a high bar for technical execution. Your mission: manage & scale a team that lands new greenfield customers with a focus on strategic & durable long-term growth.}

^{The Impact You Will Have:}

^{Team Leadership}

^{Hire, train, and grow a high-performing team of Solutions Architects focused on landing and expanding new Digital Native (DNB) customers.}
^{Foster a culture of excellence, ownership, adaptability, and continuous learning to deliver on team goals and evolve the Hunting motion.}
^{Empower your team to identify key use cases, facilitate technical discovery, and drive high-quality proof of concepts (POCs) with an execution-first mindset.}
^{Maintain consistent operational oversight on the business and work with sales counterparts to drive consistent execution & forecast accuracy}
^{Maintain a proactive hiring pipeline to meet headcount and capacity needs.}
^{Drive career development; ramp new hires quickly and promote top talent into larger roles.}
^{Bring deep technical expertise to lead architectural discussions, guide solution design, and earn trust with both your team and customer engineering leaders.}

^{Sales Excellence and Strategic Greenfield Growth}

^{Lead your team to deliver on the core mission: land durable Greenfield customers with a strategic lens for long-term growth (2+ years out).}
^{Ensure your SAs excel in technical qualification, architecture discussions, POCs, and solution design to secure technical wins.}
^{Support Sales by guiding SA engagement across the full sales cycle, operating with a #oneteam mindset.}

^{Customer Success and Value Delivery}

^{Successfully acquire new customers with Databricks by establishing key executive relationships, delivering outsized value, and accelerating time to value.}
^{Guide your team to act as trusted advisors to technical stakeholders, especially those making platform decisions.}
^{Foster strong relationships across Field Engineering, Sales, Product, Engineering, and other internal stakeholders.}
^{Lead your team in developing creative, scalable solutions that meet immediate needs and lay the foundation for durable, long-term growth.}
^{Establish and nurture external partnerships with systems integrators (SIs) and independent software vendors (ISVs) to accelerate customer success.}

^{What We Look For:}

^{Technical Depth: 5+ years in the data space (e.g., data warehousing, big data, machine learning, generative AI); strong architecture skills with the ability to guide executive-level customer discussions and drive team results.}
^{Greenfield and Growth Mindset: Experience driving Greenfield customer acquisition and adoption within a high-growth, consumption-based business model.}
^{Executive Influence: Proven ability to build trusted advisor relationships with technical executives and senior stakeholders.}
^{Architectural Influence: Proficiency in reviewing and influencing complex customer architectures to ensure scalability and long-term success.}
^{Sales Partnership: Demonstrated success collaborating with Sales and cross-functional teams to drive new business and customer outcomes.}
^{Culture Builder: Ability to foster team morale, cross-functional collaboration, and a high-adaptability, growth-focused culture centered on customer impact.}

^{Nice to Have: Experience leading technical teams with a track record of hiring, onboarding, developing, and promoting talent. Background in fast-paced, high-growth, leading-edge technology companies.}

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.

Zone 1 Pay Range

$154,400—$216,125 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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 https://www.mybenefitsnow.com/databricks.

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.

Average salary estimate

$185262.5 / YEARLY (est.)

min

max

$154400K

$216125K

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