Role at a glance
- Salary
- Not Disclosed
- Location
- Singapore - Singapore
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments
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Role Summary
The Sr. Manager, Field Engineering leads a diverse team of technical pre-sales Solutions Architects covering the ASEAN region. The role guides solution design, supports enterprise customer engagements, and drives collaboration among Sales, Marketing, Services, customers, partners, and other stakeholders.
What You'll Do
- Lead, mentor, and support a high-performing, inclusive pre-sales team.
- Foster an environment of belonging, continuous learning, and psychological safety.
- 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Technical team leadership or management experience in Big Data, Cloud, or SaaS environments, or equivalent hands-on engineering or consulting experience; experience coaching and developing diverse, high-performing teams; strong collaboration, communication, and interpersonal skills; technical background in Data Engineering, Databases, or Data Science; ability to connect data, AI, and cloud technologies to business outcomes.
Required
- Proven experience leading or managing technical teams in Big Data, Cloud, or SaaS environments—or equivalent experience gained through...
- 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.
- Enthusiasm for data, AI, and cloud technologies, and the ability to connect these to real business outcomes.
Preferred
- consulting or customer-facing experience preferred
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.