Manager, Field Engineering

• DiscoverCustomersPartners
• Databricks PlatformIntegrations and DataPricingOpen Source
• Databricks for IndustriesCross Industry SolutionsMigration & DeploymentSolution Accelerators
• Training and CertificationEventsBlog and PodcastsGet HelpDive Deep
• CompanyCareersPressSecurity and Trust
• Ready to get started?

Manager, Field Engineering

Toronto, Canada

FEQ425R103

While candidates in Toronto are encouraged for this role, we are open to remote candidates in other locations within Canada.

Mission

Reporting to a Director of Field Engineering, the Manager, Solutions Architects (SAs) will help lead a team of SAs for the Financial Services segment of Databricks’ Field Engineering team across Canada.

You will lead and promote a dynamic team focusing on enterprise software, big data / analytics, data engineering, data science, data warehousing and generative AI.

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.

The Impact You Will Have

• You will hire, train, and grow 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.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge 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

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 5+ years of experience in the data space with a technical product ( data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, 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 cross-functional teams.
• Experience working cross-functionally 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 at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

Benefits

Extended Health Care Including Dental and Vision

Life / AD&D and Disability Coverage

Equity Awards

Flexible Vacation

Paid Parental Leave

Fitness Reimbursement

Annual Career Development Fund

Home Office / Work Headphones Reimbursement

Employee Assistance Program (EAP)

Business Travel Accident Insurance

Mental Wellness Resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents base 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 utilizes 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$175,600 $310,600 CAD