Databricks
Databricks~1mo ago

Manager, Field Engineering

EngineeringOtherManagerEngineering Manager
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Quick Summary

Overview

FEQ227R87 As a Manager, Field Engineering (Solutions Architects), you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts.

Technical Tools
EngineeringOtherManagerEngineering Manager

FEQ227R87

As a Manager, Field Engineering (Solutions Architects), you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. 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 build relationships with key stakeholders in your customers' companies. You will report to the Technical GM, ANZ.

  • Manage hiring, building the pre-sales team of Solutions Architects
  • Rapidly scale the designated Field Engineering segment organisation without sacrificing quality
  • Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
  • Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
  • Promote a solution and value-based selling field-engineering organisation
  • Display an understanding of business needs and revenue potential for accounts in the assigned region
  • Build Databricks' brand in partnership with the Marketing and Sales team
  • Experience in Pre Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
  • Experience with Digital Native companies/ecosystems
  • Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
  • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
  • Great at instituting processes for technical field members to improve efficiency
  • Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science

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 TwitterLinkedIn 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.

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.

Location & Eligibility

Where is the job
Melbourne, Australia
On-site at the office
Who can apply
Open to applicants worldwide
Listed under
Australia

Listing Details

First seen
March 23, 2026
Last seen
April 30, 2026

Posting Health

Days active
37
Repost count
0
Trust Level
29%
Scored at
April 30, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Databricks
Databricks
greenhouse

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.

Employees
3k+
Founded
2013
View company profile
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DatabricksManager, Field Engineering