Manager, Field Engineering - Financial Services Industry
Databricks · Toronto, Canada · Field Engineering - FE Direct Regulated · listed June 2, 2026
The shape of it
Seniority
Manager
Experience asked
3–7 years
Where
Not stated
Stated pay
$178,100 – $244,850 CAD
Requirements listed
10
Length
843 words
In the posting’s own words
Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks’ Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.
What it asks for · 10
- 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre- and post-sales professionals
- 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
- A deep technical understanding of the impact which Data & AI can drive within various industry segments
- Trusted advisor to technical executives that guide strategic data infrastructure decisions.
- Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
- Experience hiring candidates, ramping them up to be successful, and promoting into larger roles.
- Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners.
- Experience working with other teams such as Sales, Product Management, Engineering, and Customer Success.
- Must be technical enough to earn the trust of Engineering talent and leadership Databricks.
- Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers towards ideal solutions that scale.
What the job covers
- You will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode.
- Make your customers extremely successful with Databricks and provide outsized value to their businesses.
- You will maintain a robust hiring pipeline at all times.
- Establish relationships across the business to make your customers and team successful.
- Partner with sales leadership to hit sales and consumption targets and ensure customer success
- Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs
Tools and skills named
Data
- Databricks6×
- Data warehouse
Go to market
- Customer success2×
Models & research
- Machine learning
Product & design
- Product management
Words the posting leans on
- data10×
- technical10×
- customers9×
- field engineering8×
- experience5×
- sales5×
- solutions4×
- successful4×
- architecture3×
- enterprise3×
- lead3×
- partner3×
- product3×
- scale3×
- segments3×
- value3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.