Databricks: Director, Field Engineering — Toronto, Canada
Databricks lists a Director, Field Engineering opening in Toronto, Canada. The job description covers Excel, AI, CAD, manufacturing, compliance, investment, sales.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Director, Field Engineering |
| Department | Field Engineering - FE Direct Regulated |
| Employment type | Not specified |
| Notification / job ID | 8397552002 |
| Job location | Toronto, Canada |
| Work arrangement | Not specified |
| Educational qualification | Degree / qualification: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience |
| Experience required | 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Director, Field Engineering in Toronto, Canada, under reference 8397552002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Field Engineering - FE Direct Regulated
- Employer listing date: 25 February 2026
Responsibilities and work described
- Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects
- Building: a collaborative culture within a rapid-growth team
- To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
- Support: increased return on investment of Solutions Architect involvement in sales cycles
- Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts
- 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
- Building: Databricks' brand in Canada in partnership with the Marketing and Sales team
Essential requirements and candidate background
- 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
- Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the Canadian region
- Elevate the engagement with a track record of driving large transactions and high growth customers
- Leadership ability to influence, develop, and empower your team to achieve objectives with a team approach
- Track record of transformational success and delivery of customer value
- Track record of building ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
- Experience: complex strategic accounts generating +$5M ARR
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to improve efficiency
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Pay Range Transparency
- Databricks is committed to fair and equitable compensation practices
- The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location
- Based on the factors above, Databricks anticpates utilizing the full width of the range
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above
- Canada Pay Range
- $325,000 — $395,000 CAD
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- Advertised location: Toronto, Canada
Benefits mentioned by the employer
- 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
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Director, Field Engineering vacancy is not an offer for reference 8397552002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8397552002.
Compare your qualifications and experience with the essential conditions for the Toronto, Canada position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Excel
Excel examples should identify the task, the data and the checks used to avoid an incorrect result. Explain whether you built a reporting workbook, reconciled records, automated a process or maintained an existing model.
Relevant skills
- AI/ML
- Excel
- AI
- CAD
- manufacturing
- compliance
- investment
- sales
- marketing
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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