Senior Manager, Field Engineering - Financial Services
Leads and develops a team of Solutions Architects supporting financial-services customers through technical pre-sales, architecture guidance, and strategic data-platform initiatives. Requires 10+ years in the data space, experience managing pre-sales teams, and strong expertise across modern data and AI technologies.
About the job
Responsibilities
- Hire, train, and grow a team of Solutions Architects supporting the Financial Services segment.
- Lead and develop a diverse technical pre-sales team focused on enterprise software, big data and analytics, data engineering, data science, data warehousing, and generative AI.
- Partner with Sales and other Field Engineering segments to increase revenue and help customers succeed with the Databricks Data Intelligence Platform.
- Build and maintain an efficient, high-performing Field Engineering team to accelerate market growth.
- Maintain a strong pipeline of highly qualified candidates and establish relationships across the business.
- Ensure Solutions Architects maintain advanced knowledge of the Databricks technology stack and continuously develop their technical expertise.
- Guide technical qualification, technical validations, architecture discussions, and product demonstrations.
- Establish partnerships with systems integrators and independent software vendors to maximize and accelerate customer success.
- Foster collaboration among Field Engineering, Sales, Product Management, Engineering, and Customer Success.
- Influence and review complex architectures, guiding teams and customers toward scalable solutions.
Requirements
- Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring.
- 10+ years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative AI.
- Experience serving as a trusted advisor to technical executives making strategic data infrastructure decisions.
- Strong understanding of consumption-driven business models and long-term growth strategies.
- Experience hiring, ramping, developing, and promoting high-performing technical talent.
- Ability to build positive team culture and strong cross-functional working relationships.
- Technical depth sufficient to earn the trust of engineering talent and leadership.
Compensation
- Local pay range: $192,100–$264,175 USD.
- Compensation may include an annual performance bonus, equity, and benefits.
Skills
Data Engineering, Data Science, Data Warehousing, Big Data, Machine Learning, Generative AI, Enterprise Software, Technical Sales, Solutions Architecture, Technical Qualification, Product Demos, Databricks, Systems Integrators, Independent Software Vendors, Consumption-Driven Business Models
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