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Databricks

Sr. Manager, Field Engineering

Singapore

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hirly's read of this role

Seniority
Lead / management
Country
SG
Work mode
Remote-friendly
First seen by hirly
14 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Databricks's site ↗

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