Senior Forward Deployed Engineer - Remote CT

Databricks is the Data and AI company. Over 20,000 organizations worldwide—including 70% of the Fortune 500—rely on the Databricks Data + AI Platform to build and scale data and AI applications, analytics, and autonomous agents.

As a Senior Forward Deployed Engineer (Sr. FDE) based in the Central or Eastern Time Zone
, you will work directly with strategic enterprise customers to design, build, and product ionize end-to-end solutions for their most complex data and AI challenges. Combining advanced software engineering, distributed computing, and consultative delivery expertise, you will own application architectures, implement distributed data pipelines with Apache Spark™, integrate ML/AI models and APIs, and build user-facing application interfaces. Senior FDEs operate as billable technical leads, embedding deeply with client engineering and executive teams to turn complex requirements into production-grade systems while building reusable accelerators that shape the core Databricks product roadmap.

• Production Solution Delivery: Lead high-impact technical engagements for enterprise clients by architecting and delivering production-grade data pipelines, reference architectures, custom applications, and ML/AI model integrations.
• End-to-End Architecture Ownership: Lead design and architectural decisions across data engineering, MLOps, and full-stack development—ensuring systems built on Databricks are secure, performant, scalable, and aligned with industry best practices.
• Customer Immersion & Strategic Advisory: Embed with customer engineering pods and executive stakeholders to deeply understand technical challenges, bootstrap transformational projects, and drive long-term platform adoption.
• Cross-Functional Collaboration: Partner closely with Engagement Managers, Solution Architects, Core Engineering, and Customer Support to ensure technical milestones are met and engagement issues are rapidly resolved.
• Reusable Assets & Scale: Contribute reusable frameworks, technical accelerators, and best practices that scale impact across global accounts while providing field feedback directly to Databricks product teams.
• Technical Project Leadership: Manage technical scope, delivery timelines, and measurable outcomes while whiteboarding architectures and resolving complex stakeholder trade-offs.

Software & Data Engineering Technical Depth

• 6+ years of professional experience in data engineering, data platform architecture, software development, or analytics engineering.
• Polyglot Coding Mastery: Strong proficiency writing production-grade code in Python, Scala, or JavaScript/Type Script along with modern application development frameworks.
• Apache Spark & Distributed Computing: Deep hands-on experience with distributed computing via Apache Spark™, including advanced knowledge of Spark runtime internals and performance optimization.
• Multi-Cloud Ecosystems: Working knowledge of two or more public cloud environments (
  AWS, Azure, GCP
  ) with deep expertise in at least one.
• AI/ML & Full-Stack Integration: Practical familiarity with MLOps pipelines, machine learning frameworks, AI APIs, and building end-to-end data architectures with user-facing interfaces.
• Dev Ops & CI/CD: Hands-on experience implementing CI/CD pipelines for production deployments.
• Certifications: Databricks Certification (Data Engineer, ML, or Platform).
• Consulting & Customer Delivery: Demonstrated experience managing scope, whiteboarding architectures, resolving stakeholder conflicts, and delivering complex client engagements.

• Prior experience working in forward-deployed engineering, technical consulting, or enterprise cloud platform professional services.
• Deep familiarity with lakehouse…