Senior Forward Deployed Engineer - Data & AI Solutions

Neon; Uscarrés; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer to work with customers, own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

You will embed with client teams, deliver production-grade solutions, guide architectural choices, and collaborate with engineering, product, and customer teams to ensure secure, scalable results.

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics or software engineering.
• Comfortable coding in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Knowledge of two+ cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one.
• Deep experience with distributed computing using Apache Spark and Spark internals.
• Familiarity with CI/CD for production deployments.
• Knowledge of MLOps, ML/AI models and AI APIs.
• Experience delivering technical projects with measurable outcomes.
• Excellent documentation and white-boarding skills.

Responsibilities

• Lead production‑grade solution delivery, building reference architectures and data ingestion pipelines.
• Guide transformational big data projects end‑to‑end from design to deployment.
• Coach customers on architecture and design; ensure secure, scalable solutions.
• Collaborate with Databricks teams to deliver engagement components meeting customer needs.
• Embed with customer teams to understand challenges and drive impact.
• Create accelerators and best practices to scale impact across accounts.

Skills

Data engineering

Cloud platforms

Spark / Apache Spark

CI/CD

ML/AI

Client engagement

Documentation

Tools

Databricks

Job description

Databricks is seeking a Forward Deployed Engineer to work with customers, own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

You will embed with client teams, deliver production-grade solutions, guide architectural choices, and collaborate with engineering, product, and customer teams to ensure secure, scalable results.