Manager, Field Engineering (Specialist) - Canada

FEQ125R61

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

The Manager, Specialist Solutions Architects 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 our new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams who are responsible for developing and overseeing the overall technical account strategy. Reporting to the Sr. Manager, Field Engineering.

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 leading technical customer-facing teams (team sizes greater than 5), preferably in a pre-sales organization leading technical engagements
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• 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
• Experience driving software platform adoption in Fortune 500 organizations, preferably in markets such as Finance Services, Health and Life Sciences and Public Sector
• Up to 30% of travel is required.

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. 

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.

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.