Manager, Field Engineering - Health Payer and Provider(Hunter)

at Databricks

Location

Central - United States

Compensation

$173k–$237k USD

Type

full time

Posted

2 days ago

Market range · company + function + seniority

$254k—$264k—$312k

p25 · target · p75 · n=16

Posted $237k · below the band

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Job description

FEQ227R364

Reporting to the Director of Field Engineering for Healthcare and Life Science, the Solutions Architect Manager will be pivotal in leading a high-performing team of pre-sales Solutions Architects focused on Greenfield Accounts. You will lead and develop a high-performing team of Solutions Architects in enterprise software, big data/analytics, data engineering, and data science. You will partner with healthcare and life sciences organizations to solve complex and strategic challenges using Databricks’ Data Intelligence Platform. You will guide your team’s customer engagement to design and deliver solutions that clearly translate technical capabilities into tangible business value while actively supporting complex sales cycles. You will cultivate trusted relationships with executives and influencers across large enterprises and contribute to go-to-market strategies to accelerate the adoption of modern data and AI capabilities in the healthcare and life sciences sectors. The ideal candidate will have a proven track record of leading Greenfield teams, building customer trust, and navigating complex enterprise deals from discovery to close, balancing strategic vision, operational excellence, and deep industry expertise.

The impact you will have:

Team Leadership:

Hire, train, and nurture a team of Solutions Architects to foster a culture of excellence and innovation.
Empower your team to navigate technical complexities, identify key use cases, and build compelling proofs of concept.
Foster a culture of continuous learning and development within the team.

Sales Excellence | Activated Logos | Databricks consumption

Drive the activation of new customers by guiding the Solutions Architect team in qualifying use cases, building customer trust, and navigating complex enterprise deals from discovery to close.
Lead your team in establishing themselves as trusted advisors throughout the customer life-cycle.
Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstrations, and implementation plans.
Play a crucial role in achieving technical wins in complex sales cycles.

Customer Success and Value Delivery:

Ensure customer success by helping them succeed with Databricks solutions and delivering outsized value to their businesses.
Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.
Ability to operate in ambiguity and build foundational systems for repeatability.
Bring structure, urgency, and vision to uncharted territory.

What we look for:

Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
Leadership: 2+ years of experience leading technical teams, preferably in a pre-sales organization, activating new customers, and exceeding annual quotas.
Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization.
Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
Nice to Have: Experience in the Healthcare and Life Science sector.

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 2 Pay Range

$172,500—$237,150 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 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.