Sr. Forward Deployed Engineer - Financial Services

As a Forward Deployed Engineer (FDE) at Databricks, you will work closely with customers to build and productionize solutions to their data and AI challenges using the Databricks platform.

You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

The impact you will have:

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• Guide customers on architecture and design, bootstrap or implement customer projects, leading to successful understanding, evaluation, and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components meet customer needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement-specific product and support issues.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Proficiency in writing code in languages such as Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models, and AI APIs.
• Experience with designing and deploying performant production end-to-end data architectures and applications.
• Technical project delivery experience, including managing scope, timelines, and measurable outcomes.
• Strong documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Ability to travel to customers 20% of the time.

The pay range for this role is $180,656 - $248,360 USD.