2+ years of experience in software engineering, data engineering, or analytics.
Proficiency in Python and JavaScript/TypeScript with full-stack capabilities.
Strong understanding of data structures, algorithms, and version control.
Experience with a major cloud platform (AWS, Azure, or GCP) or eagerness to learn.
Familiarity with CI/CD and interest in MLOps and AI APIs.
Excellent communication skills for customer-facing roles.
Curiosity and adaptability in exploring new technologies.
Responsibilities
Deliver production-grade systems and reusable frameworks.
Support customers through data & AI project transformations.
Contribute to architecture and design for scalable solutions.
Embed with customer teams to address technical challenges.
Collaborate with senior FDEs and engineering to unblock customers.
Manage technical scope and timelines for workstreams.
Ensure technical components meet customer needs.
Benefits
Comprehensive benefits and perks tailored to employee needs.
Full Job Description
CSQ427R342
Hub Cities: NYC | Mountain View | up to 20% travel to customer sites + Hybrid office expectation
As an Associate Forward Deployed Engineer (FDE) at Databricks, you'll be in a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. You'll work directly with enterprise customers to build and productionize data & AI solutions on the Databricks platform. This early-career role is ideal for a strong software engineer looking to grow into a technical leader. You will embed with customer teams, ship production-grade systems, and learn the Databricks platform deeply alongside senior FDEs and our engineering organization. The impact you will have:
Production Solution Delivery: Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices along the way.
Transformational Impact: Support strategic customers through transformational data & AI projects, from prototype through production deployment.
Own the Architecture: Contribute to architecture and design decisions for secure, scalable, full-stack solutions on the Databricks platform.
Embed with customer teams to understand their technical and business challenges and help deliver measurable impact.
Collaborate closely with senior FDEs, Databricks engineering, and customer support to unblock customers and feed learnings back into the product.
Manage technical scope and timelines for your workstreams, growing toward end-to-end delivery ownership.
Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
What we look for:
2+ years of experience in software engineering, data engineering, or data platforms & analytics.
Strong full-stack software engineering skills proficiency in Python and JavaScript/TypeScript, and comfort working across back-end services, APIs, and modern front-end frameworks.
Solid computer science fundamentals: data structures, algorithms, testing, and version control.
Experience with at least one major cloud platform (AWS, Azure, or GCP), or a strong desire to develop cloud expertise quickly.
Familiarity with CI/CD, and an interest in production data architectures and MLOps, ML/AI models and AI APIs.
Excellent communication skills and a genuine interest in customer-facing engineering work.
Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
Experience with Apache Spark or distributed data processing is a plus.We'll help you build platform depth on the job.
Databricks Certification is a plus, and can be obtained after joining.
Recent graduate?: We'd love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.
This role is based in our New York (Midtown location) office. Travel to customers is expected approximately 20% of the time.
More About Databricks
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BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
About Databricks
Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
