Synced from Greenhouse · Jul 1

Field Engineering Manager

DatabricksSingaporePosted Jul 1, 2026
Engineering ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 1
Posted
Greenhouse
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Job descriptionReq 8438767002

FEQ427R257

As a Sr. Manager, Field Engineering, you will lead a diverse team of technical pre-sales Solutions Architects covering the Asean 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
  • 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
  • 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.

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
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