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Manager, Field Engineering

FEQ226R82

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

This Field Engineering Manager will lead a team of Solutions Architects (SA) focusing on core customers within the Retail Consumer Technology group.

This role will expand and develop a dynamic team skilled in working with customers on data engineering, analytics, and ML/AI workloads. It will require experience partnering with the sales organization to help grow consumption and win new workloads by enhancing your team's effectiveness; being an expert at communicating complex value-focused solutions; and building relationships with key stakeholders in large customers.

The impact you will have:

  • Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode.
  • Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads - especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle. 
  • Ensure customer success with Databricks and provide outsized value to their businesses.
  • Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.

What we look for:

  • 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).
  • Experience building and leading technical customer-facing teams - hiring, onboarding, and supporting team members in a hypergrowth environment; 
  • A history of building a territory; growing strategic accounts; and exceeding targets
  • Led a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
  • Inspiring a team vision about the unique nature of their group - to help foster a healthy and productive working relationship within the team and other organizations. 
  • A history of execution by managing workloads and consumption with sales counterparts.  Sharing learnings and blockers with the team and working to accelerate growth and adoption. 
  • Experience with driving executive alignment in accounts that guide strategic data infrastructure decisions and establish partnerships through adoptions and growth.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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
$220,500$338,100 USD
Zone 2 Pay Range
$220,500$338,100 USD
Zone 3 Pay Range
$220,500$338,100 USD
Zone 4 Pay Range
$220,500$338,100 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 TwitterLinkedIn 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

$279300 / YEARLY (est.)
min
max
$220500K
$338100K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Manager, Field Engineering, Databricks

If you're an experienced leader in the data space, then the Manager, Field Engineering position at Databricks is an exciting opportunity for you! Located in the Northeast of the United States, this role is all about guiding a talented team of Solutions Architects as they engage with key customers in the Retail Consumer Technology sector. Here, you'll have the chance to hire, train, and grow your team while ensuring they excel in qualifying workloads, building compelling proof of concepts, and delivering value-driven solutions. With your expertise, you'll help foster robust relationships with stakeholders and ensure the success of our customers by driving the adoption of Databricks. If you have over 10 years of experience in data engineering, cloud infrastructure, or machine learning and enjoy nurturing talent in a hypergrowth environment, we'd love to hear from you. Your responsibility will extend to working closely with sales teams to unlock new business opportunities and helping your team navigate complex customer landscapes. At Databricks, we believe in shaping a culture ripe for innovation and success. Your journey in this role will not only elevate customer satisfaction but also your team’s growth and success. Let's embark on this data-driven adventure together!

Frequently Asked Questions (FAQs) for Manager, Field Engineering Role at Databricks
What are the key responsibilities of a Manager, Field Engineering at Databricks?

As a Manager, Field Engineering at Databricks, your key responsibilities include leading a dynamic team of Solutions Architects, overseeing the growth of their technical capabilities, and ensuring they qualify and deliver on workload solutions effectively. You will collaborate extensively with sales teams to drive new business and enhance customer satisfaction while building strategic relationships with key stakeholders.

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What qualifications are necessary for the Manager, Field Engineering position at Databricks?

To qualify for the Manager, Field Engineering role at Databricks, candidates should have over 10 years of experience in the data space, especially in handling technical products like data warehousing and cloud infrastructure. A proven track record of building and managing customer-focused teams is essential, as is experience in growing strategic accounts in competitive environments.

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How does the Manager, Field Engineering position contribute to customer success at Databricks?

The Manager, Field Engineering plays a crucial role in customer success at Databricks by ensuring that the Solutions Architects deliver effective and tailored solutions that drive adoption of Databricks' services. By establishing strong relationships across internal organizations and understanding customer needs, you will help maximize value and outcomes for our clients.

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What is the expected salary range for the Manager, Field Engineering role at Databricks?

The expected salary range for the Manager, Field Engineering role at Databricks varies by location, with ranges typically between $220,500 and $338,100. The ultimate compensation package is influenced by factors such as experience, job-related skills, and specific work location.

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What benefits does Databricks offer for the Manager, Field Engineering position?

At Databricks, employees, including those in the Manager, Field Engineering role, enjoy a comprehensive benefits package that includes health insurance, retirement plans, and equitable pay practices. Additional offerings such as annual performance bonuses, equity opportunities, and various perks contribute to a holistic employment experience.

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Common Interview Questions for Manager, Field Engineering
How would you describe your leadership style as a Manager, Field Engineering?

In your response, emphasize your ability to inspire and communicate a clear vision for your team. Highlight experiences where you empowered team members, fostered collaboration, and built an environment of trust and innovation.

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Can you provide an example of a challenging customer situation and how you handled it?

Share a real-life example that showcases your problem-solving skills, emotional intelligence, and ability to maintain professionalism under pressure. Mention the steps you took, the outcomes, and what you learned from the experience.

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How do you ensure your team remains motivated and on track to meet goals?

Discuss the strategies you implement to keep team morale high, such as regular check-ins, recognition of achievements, and establishing clear objectives. Highlight your ability to create a supportive environment that encourages growth.

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What is your approach to building relationships with key stakeholders?

Talk about your proactive communication style and how you tailor your approaches to different stakeholders, emphasizing the importance of understanding their needs and aligning solutions with their goals.

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How do you stay updated with the latest trends in data engineering and AI?

Mention the resources you utilize, such as attending industry conferences, joining relevant forums, and following thought leaders in the data space. This demonstrates your commitment to continuous learning and staying informed.

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Describe a time when you had to adjust your strategy based on a significant change in the market or technology.

Highlight a specific instance where you successfully adapted to changes, what factors influenced your decision-making, and the results of these adjustments on your team's performance or customer outcomes.

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How do you prioritize workloads and projects within your team?

Elaborate on your approach to assessing project requirements, aligning them with organizational goals, and balancing team capabilities. Discuss any tools or methodologies you use for effective prioritization.

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What metrics do you consider essential for measuring your team's success?

Explain how you identify key performance indicators that align with strategic objectives and how you use data to gauge performance, providing insights to improve team effectiveness.

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How do you handle conflict resolution within your team?

Discuss your methods for addressing conflict, emphasizing open communication, understanding various perspectives, and working towards mutually beneficial solutions while maintaining team cohesion.

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What strategies would you implement to enhance customer engagement?

Share your ideas on customer engagement initiatives, including regular feedback loops, proactive outreach, and how you would ensure that your team's solutions align with customer needs and expectations.

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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.

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Full-time, on-site
DATE POSTED
March 21, 2025

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