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Manager, Field Engineering – Strategic Digital Native Business

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Remote from
USA
Salary
USD 172,500–237,150 / yr
Employment
Full Time
Experience
Director
Published
Apply before
28 Nov 2026
Listing views
41
Application actions
1
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AI Summary

The role, at a glance.

Databricks is hiring a manager to lead a Solutions Architect team serving strategic digital-native technology customers. The role combines people leadership, technical solution strategy, and account execution across data, analytics, cloud, and AI workloads. This manager will partner closely with sales, services, product, and engineering while helping the team qualify opportunities, build proofs of concept, and drive platform adoption. Success requires a strong history of leading technical customer-facing teams, growing strategic accounts, and engaging executive stakeholders. The position is remote for candidates located in California, Colorado, Oregon, or Washington, with travel to customer sites for workshops and executive sessions.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, high-impact leadership role requiring both deep data/AI domain knowledge and accountability for team performance, strategic accounts, and customer outcomes. The manager must coordinate complex technical and commercial work across multiple internal and executive-level external stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$204,825
US market range (per year)$175k–$260k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a USD 172,500–237,150 annual local pay range; the annual cadence is inferred from the scale of the disclosed USD range and senior full-time US leadership role. Estimated US market compensation for comparable field engineering and solutions architecture management roles is approximately USD 175,000–260,000 annually, excluding potential equity and variable compensation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you developed and scaled a technical customer-facing team in a high-growth environment?

I establish clear role expectations, structured onboarding, regular skills assessments, and individual development plans. I pair coaching with measurable operating metrics such as time to productivity, technical win rate, customer outcomes, and team engagement, then adjust enablement and hiring plans as the business evolves.

How would you help Solutions Architects technically qualify a strategic digital-native opportunity?

I would ensure the team identifies the customer’s business priority, workload architecture, data maturity, technical constraints, executive sponsor, and success criteria. The SA should validate platform fit early, define a jointly agreed proof-of-value plan, and maintain alignment with the account team on commercial milestones and risks.

Describe your approach to partnering with sales while preserving technical credibility with customers.

I align with sales on account strategy, customer outcomes, and qualification standards before customer engagements. In conversations, I focus on transparent technical guidance, clear trade-offs, and evidence-based recommendations so the customer sees the SA team as trusted advisors rather than solely as a sales resource.

How do you manage executive alignment for a complex data and AI transformation account?

I map the executive stakeholders, their strategic objectives, and the decisions they need to make. I translate technical progress into business outcomes, surface risks early, and create concise executive reviews that connect adoption milestones, value realization, and the roadmap.

What metrics would you use to evaluate the effectiveness of a Solutions Architect team?

I would use a balanced scorecard including technical win rate, proof-of-concept conversion, platform adoption and consumption growth, time to value, customer satisfaction, pipeline influence, forecast quality, and team development indicators. Metrics should guide coaching and resource allocation rather than incentivize short-term activity alone.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.

You’ll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers’ workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit.

Responsibilities:

  • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  • Adapt the SA team’s skills and engagement model to match the needs of Digital native customers
  • Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
  • Travel to customer sites for executive sessions, technical workshops, and building relationships
  • Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
  • Stay current with emerging Data and AI trends in the digital native tech sector

What we look for:

  • 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
  • 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
  • A history of building a territory, growing strategic accounts, and exceeding targets
  • Inspiring a team vision about the unique nature of the digital natives business
  • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
  • Experience owning executive alignment in accounts that guide strategic decisions

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

$172,500—$237,150 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.

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.

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