Databricks
Manager, Field Engineering France - Specialist Solutions Architects
Paris, France. Posted 6 months ago
The role
The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects responsible for technical sales cycles. You will hire, train, and grow a team to support complex customer architectures and drive platform usage.
What you will do
- Hire, train, and grow a diverse team of Specialist Solutions Architects
- Exceed region consumption targets by deploying technical experts to critical use cases
- Make customers successful with Databricks and provide value to their businesses
- Establish relationships across the business
- Grow Databricks platform usage and prevent churn by overseeing a regional growth quota
- Create positive morale and foster relationships between Field Engineering, Sales, and internal partners
- Help resolve customer questions and concerns on strategic accounts
- Act in a supportive manager capacity including handling escalations and mentoring team members
- Lead a team through technical qualification, proof of concepts, architecture discussions, and product demonstrations
Required qualifications
- Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
- Experience in leading technical overlay customer-facing teams (team sizes greater than 8)
- Trusted advisor to technical executives that guide strategic data infrastructure decisions
- Team player, but able to challenge and define priorities
- Self-starter, challenger, strategic planner & analytical thinker
- 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
Nice to have
- preferably in a pre-sales organisation leading technical engagements
About the company
Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.