Audit · per posting
Sr. Manager, Field Engineering (Specialist)
Databricks·Engineering
Posted May 12, 2026·Open for 42 days
This role has been removed. The original listing was at https://databricks.com/company/careers/open-positions/job?gh_jid=8540569002.
Key details
Function
Engineering
Seniority
Manager
Workplace
On-site
Location
Singapore
Specialty
Field Engineering
Tech stack
SparkDelta LakeMLflow
Job Description
FEQ327R181
The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.
The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.
The impact you will have:
You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode
Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward
Make your customers extremely successful with Databricks and provide outsized value to their businesses
Establish relationships across the business to make your customers and team successful
Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota
Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership
Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc.
What we look for:
Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements
Trusted advisor to technical executives that guide strategic data infrastructure decisions
Team player, but able to challenge and define priorities
Self-starter, challenger, strategic planner & analytical thinker
Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.
Experience working with other teams such as Sales, Product Management, and Professional Services
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 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.
Audit details(provenance, verification trail, raw fields)
Core fields
Posting ID
databricks:8540569002Title
Sr. Manager, Field Engineering (Specialist)
Function
Engineering
Location
Singapore
Workplace mode
unspecified
Posted at
2026-05-12 06:43:12Z
Compensation
undisclosed
Provenance
First seen (our scraper)
2026-06-15 05:22:54Z
Last seen
2026-06-22 08:52:53Z
Last updated
2026-06-23 20:41:30Z
Removed at
2026-06-23 20:41:30Z
Days open
Open for 42 days
ATS adapter
greenhouse
ATS slug
databricksVerification trail
- confirmed_closed2026-06-23 20:41:35Zvia greenhouse
evidence
{ "url": "https://boards-api.greenhouse.io/v1/boards/databricks/jobs/8540569002", "status": 404 }
LLM enrichment
Enriched at 2026-06-17 07:17:23Z. Enrichment runs once per posting, never re-runs.
Seniority
manager_m2
Role archetype
engineering
Specialty
field_engineering
Workplace mode
unknown
City (normalized)
San Francisco
Country (normalized)
United States
Comp range
—
Tech stack
sparkdelta_lakemlflow
Novel role archetype?
no
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.
