# Senior Manager, Field Engineering - Financial Services

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $192k – $264k/yr
**Experience:** 8+ years
**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
**Posted:** 2026-08-07

> 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.

## Job Description

## 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.

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