Field Engineering Manager, Specialist Solutions Architects

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) 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 new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy.

Reporting to the Director, 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

• 5+ years of experience leading Data & AI Engineering teams, technical pre-sales and/or post-sales teams, with a proven track record in the management of elite technical individual contributors.
• 5+ years of hands-on experience in developing data solutions with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, Generative AI infrastructure).
• Strong skillset in technical discovery, architecture design validation, structured proof-of-concept (POC/MVP) management, and value-selling frameworks.
• Trusted advisor to technical executives who guide strategic data infrastructure decisions

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