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 platforms, clean rooms, data marketplaces). 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre and post)-sales professionals A deep technical understanding of the impact that Data + AI can drive within the Retail industry. Trusted advisor to technical executives who guide strategic data infrastructure decisions. Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. Experience hiring 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. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $192,100—$264,175 USD Zone 2 Pay Range $192,100—$264,100 USD Zone 3 Pay Range $192,100—$264,100 USD Zone 4 Pay Range $192,100—$264,100 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.