Sr. Manager, Field Engineering

FEQ127R252

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the Retail, Consumer Goods, and Travel & Hospitality industries are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. Our team is hiring a dynamic Solution Architecture (SA) leader who intimately understands the large-enterprise ecosystem and the critical role of modern data architecture in advancing their Data & AI initiatives. Additionally, this SA leader will inspire their team of Solution Architects by translating their team's vision into a tangible and effective strategy in order to drive our customers’ data and AI experiences forward.

The Sr. Manager, Solutions Architecture, will help lead a team of SAs within Databricks’ Field Engineering team's Retail vertical. Reporting to Matt Harris, Sr. Director of Field Engineering, 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 (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth.

The Impact You Will Have

• You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
• Make your customers in the Consumer Goods segment successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Partner with sales leadership to hit sales and consumption targets and ensure customer success
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across this industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• • 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
  • 3+ years of professional experience in the field, architecting and delivering data-driven solutions for major accounts within the Retail, Consumer Products, Travel & Hospitality vertical.
    • Deep familiarity with the buy-side and supply-side ecosystem
    • Demonstrated expertise with data collaboration ecosystem (eg, customer data platform