Senior Forward Deployed Engineer (Fintech)

TL;DR

Senior Forward Deployed Engineer (Fintech): Building and productionizing data and AI solutions on the Databricks platform with an accent on architecture design, system scalability, and customer-facing technical delivery. Focus on integrating complex data pipelines, ML/AI models, and custom applications to drive measurable business outcomes for enterprise financial clients.

Location: Must be based in or near Washington, D.C. (Hybrid role with 20% travel expected).

Salary: $180,656 – $248,360 USD

Company

Databricks is the data and AI company, providing a unified platform for data, analytics, and AI used by over 50% of the Fortune 500.

What you will do

• Lead impactful customer technical projects by delivering production-grade systems and reference architectures.
• Guide strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
• Embed with customer teams to understand technical challenges and deliver high-impact solutions.
• Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
• Collaborate with internal engineering and product teams to provide feedback and influence the product roadmap.
• Contribute reusable assets, frameworks, and best practices to scale impact across accounts.

Requirements

• 6+ years of experience in data engineering, data platforms, or software engineering.
• Proficiency in Python, Scala, or JavaScript/TypeScript.
• Deep experience with distributed computing using Apache Spark and knowledge of runtime internals.
• Working knowledge of at least two major cloud ecosystems (AWS, Azure, GCP).
• Experience with MLOps, AI models, and CI/CD for production deployments.
• Proven ability to manage technical project delivery, scope, and stakeholder expectations.

Nice to have

• Databricks Certification.
• Experience working with enterprise clients in the financial services sector.

Culture & Benefits

• Comprehensive benefits package tailored to regional needs.
• Commitment to a diverse and inclusive workplace with equal employment opportunity standards.
• Opportunity to work at the intersection of cutting-edge AI technology and business strategy.
• Collaborative environment working with industry-leading experts in data and AI.