This Field Engineering Manager will lead a team of Solutions Architects (SA) focusing on strategic customers within the Digital Native Business.

This role will expand and develop a dynamic team skilled in working with customers on data engineering, analytics, and ML/AI workloads. It will require experience partnering with the sales organization to help grow consumption and win new workloads by enhancing your team's effectiveness; being an expert at communicating complex value-focused solutions; and building relationships with key stakeholders in large customers.

The impact you will have:

• Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode.
• Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads - especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle. 
• Ensure customer success with Databricks and provide outsized value to their businesses.
• Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).
• Experience building and leading technical customer-facing teams - hiring, onboarding, and supporting team members in a hypergrowth environment; 
• A history of building a territory; growing strategic accounts; and exceeding targets
• Led a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
• Inspiring a team vision about the unique nature of their group - to help foster a healthy and productive working relationship within the team and other organizations. 
• A history of execution by managing workloads and consumption with sales counterparts.  Sharing learnings and blockers with the team and working to accelerate growth and adoption. 
• Experience with driving executive alignment in accounts that guide strategic data infrastructure decisions and establish partnerships through adoptions and growth.