Synced from Greenhouse · Jul 1

Field Engineering Manager

DatabricksRemote - DenmarkPosted Jul 1, 2026
Engineering ManagerRemoteSenior
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Jul 1
Posted
Greenhouse
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Job descriptionReq 8506061002

(FEQ427R176)

As a Field Engineering Manager, you will lead a skilled and motivated team of technical pre-sales Solutions Architects and Solutions Engineers based in Denmark. You will play a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners.

You will coach your team to communicate complex ideas clearly and accessibly, supporting strategic sales cycles, and building strong partnerships with customers and stakeholders across large organisations. You will also foster a culture where people with diverse backgrounds feel included, supported, and able to do their best work.

The impact you will have:

  • Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.
  • Foster a collaborative culture that reflects Databricks’ values of customer focus, teamwork, and diversity of thought.
  • Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform.
  • Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes.
  • Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI.
  • Collaborate across teams—including Marketing, Sales, Product, and Services—to ensure a seamless customer experience and successful implementation.
  • Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets.

What we’re looking for:

*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*

  • Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies.
  • A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership.
  • Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes.
  • Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities.
  • Strong communication and interpersonal skills, with fluency in English required and Danish preferable. 
  • Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage.
  • Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language.

Notes: 

  • This will be a ‘Remote Contract’ with no formal Databricks office currently in Denmark. However the team do meet weekly/bi-weekly to meet in a coworking space in Copenhagen.  
  • If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.

#LI-hybrid

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

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Field Engineering Manager
Databricks · Remote - Denmark
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