Sr. Manager, Field Engineering (Specialist)

Reporting to a Manager of Field Engineering, the  Specialist Solutions Architect Manager will help lead a team of SSAs for the Amer Emerging segment. 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% post-sales), you will partner with Sales (and Solution Architects)  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 Specialist Solutions Architects for a company in high-growth mode.
• You will maintain a robust hiring pipeline at all times.
• 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.
• Keep your team of SSAs ahead of the technical curve. An SSA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and staying ahead of the other field functions.

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• Experience building and leading technical pre(and post)-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals;
• 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.

Benefits 

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) 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. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$196,300—$347,300 USD

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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 incl