Manager, Field Engineering (Pre-Sales) - Nordics Enterprise

Sorry, this job was removed at 04:24 p.m. (UTC) on Tuesday, Feb 17, 2026
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Stockholm, SWE
In-Office
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role

(FEQ427R169)

As a Field Engineering Manager for the Nordics territory, you will lead a diverse team of technical pre-sales Solutions Architects and Engineers across the region. You’ll play a key leadership role at the intersection of technology and business—guiding your team to design impactful solutions and drive growth through collaboration and innovation.
You’ll empower your team to communicate complex ideas with clarity, support strategic enterprise customer engagements, and build lasting partnerships with clients and internal stakeholders.
The impact you will have:

  • Lead, mentor, and support a high-performing, inclusive pre-sales team across the Nordics.
  • Foster an environment of belonging, continuous learning, and psychological safety that reflects Databricks’ values of customer focus, teamwork, and diversity.
  • Work closely with Sales and other teams to identify opportunities and deliver data-driven, value-focused solutions.
  • Establish best practices that improve team efficiency, collaboration, and business impact.
  • Build trusted relationships with customers and partners, acting as a strategic advisor in their digital transformation journey.
  • Partner with Marketing, Sales, Services, and other cross-functional teams to ensure a seamless customer experience.
  • Represent Databricks as part of the regional leadership team, contributing to our local presence and inclusive culture.

What we’re looking for:

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.

  • Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through hands-on engineering or consulting work.
  • A track record of coaching and developing diverse, high-performing teams.
  • Strong collaboration skills and the ability to partner effectively with Sales, Marketing, and other cross-functional leaders.
  • Excellent communication and interpersonal skills; professional proficiency in English (knowledge of any Nordic language is a plus, but not a hard requirement).
  • Technical background in Data Engineering, Databases, or Data Science (consulting or customer-facing experience preferred).
  • Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.

Notes: 

  • This role is based in Stockholm, within a reasonable commuting distance, and follows a hybrid working model.
  • 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 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.

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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