Role at a glance
- Salary
- Not Disclosed
- Location
- Singapore - Singapore
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years experience in senior pre-sales or post-sales roles
- Education
- Bachelor's Degree in STEM subject, or MSc desirable
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Role Summary
The Sr. Manager, Field Engineering (Specialist) leads a team of Partner Solution Architects supporting consulting and system integration partners. The role develops partner technical practices around data analytics, lakehouse architecture, and Databricks platform adoption to support customer success and DBU consumption.
What You'll Do
- Grow a team of Partner Solutions Architects
- Guide partners in building a comprehensive technical point of view for lakehouse architecture across their customers
- Lead priorities alongside partner sales, partner alliances, and Databricks technical functions
- Establish relationships across the business to support partner and customer success
- Build a collaborative culture within a hyper-growth team
- Drive Customer Success and DBU consumption through consulting partners
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience hiring and managing field or technical teams from scratch at hyper-growth speed; 8+ years experience in senior pre-sales or post-sales roles; player/coach capability; knowledge of data-driven decisions, AI, and Cloud software models; experience instituting processes for technical field members; technical background in Data Engineering, Database technologies, or Data Science.
Required
- Experience hiring and managing field or technical teams from scratch at hyper-growth speed
- 8+ years experience in senior pre-sales or post-sales roles
- Player/Coach capability
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to promote efficiency
- Technical background either in Data Engineering / Database technologies or Data Science
Preferred
- Bachelor's Degree in STEM subject
- MSc
Original job description
Content provided by the employer
Original job description
Content provided by the employer
FEQ425R219
The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting & SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team's effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome.
The impact you will have:
- You will grow a team of Partner Solutions Architects for a company in high-growth mode.
- Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions. This will establish partners as trusted advisors by having strong capability and Databricks practices.
- Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product)
- Establish relationships across the business to make your partners and our customers successful.
- Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values
- Drive Customer Success and DBU consumption through consulting partners
- Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives
What we look for:
- Experience hiring and managing field or technical teams from scratch at hyper-growth speed
- 8+ years experience in senior pre-sales or post-sales roles, where you have assisted in the development of a successful team of professionals in Big Data, Cloud, or SaaS
- Player/Coach capability, comfortable both leading or contributing to work on projects, with partners on our joint customers
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to promote efficiency
- Bachelor's Degree in STEM subject, or MSc desirable
- Technical background either in Data Engineering / Database technologies or Data Science
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.