FEQ327R164

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.  Major Enterprises in the Media industry are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies.  The Communications, Media, Entertainment and Gaming Field Engineering team (CMEG) is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Media ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives.  Additionally, this SA leader will inspire the FLMs and the entire team of Solution Architects by translating the team's vision into a tangible, effective strategy to drive our customers’ data and AI experiences forward.

The Director of Solutions Architecture will lead a team of SA Leaders across five business lines : Strat Media, Core Media, Agencies, Ad Tech, and Sports. Reporting to the Tech GM of CMEG, 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

• Lead a team of 5 FLMs with a total indirect org size of ~60
• Your team will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
• Make your customers in the Media 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 SA Leaders and 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 the Media 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

• 10+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• 5+ years of professional experience in the field, architecting and delivering data-driven solutions for major accounts within the Media industry.
• Deep familiarity with the buy-side and supply-side ecosystem
• Very strong understanding of the ad tech and martech industries
• Extensive experience in creating network effects between publishers, ad spenders, and agencies.
• Understanding of leagues, teams, and data providers within the sports industry.  
• Demonstrated expertise with data collaboration ecosystem (eg. customer data platforms, clean rooms, data marketplaces).
• Proven thought leader on key industry imperatives for Media.
• 5+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals and leaders
• A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry.
• Extensive experience in building out repeatable industry assets and scaling those across a BU+2 and globally to other teams within Databricks.
• Trusted advisor to technical executives who guide strategic data infrastructure decisions.
• Experience hiring leader and IC candidates, ramping them up to be successful, and promoting them into larger roles.
• Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.
• Experience working with teams across Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.