Description
We are seeking a Director, Field Engineering to lead a team of Solution Architecture (SA) leaders who intimately understand the Media ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives. As a Director, Field Engineering, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. 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.
Key Responsibilities:
- Lead a team of 5 FLMs with a total indirect org size of ~60
- Hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode
- Make customers in the Media segment successful with Databricks and provide outsized value to their businesses
- Maintain a robust hiring pipeline at all times
- Establish relationships across the business to make 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
Requirements:
- 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
Pay Range Transparency:
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 1 Pay Range: $218,400-$300,300 USD Zone 2 Pay Range: $218,400-$300,300 USD Zone 3 Pay Range: $218,400-$300,300 USD Zone 4 Pay Range: $218,400-$300,300 USD