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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 Forward Deployed Engineer. 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.
- 2+ years of experience in a Software Engineering, Forward Deployed Engineering, or AI Engineering role
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering
- 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.
About DatabricksDatabricks is a Data and AI company. More than 10,000 organizations worldwide rely on Databricks to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
This role is based in one of our US Hub cities. Travel to customers is expected approximately 20% of the time.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At 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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 2+ years of experience in software engineering, data engineering, or data platforms and analytics
- Proficiency in Python and JavaScript or TypeScript
- Experience across back-end services, APIs, and modern front-end frameworks
- Computer science fundamentals, including data structures, algorithms, testing, and version control
- Experience with at least one major cloud platform: AWS, Azure, or GCP
- Familiarity with CI/CD
- Interest in production data architectures, MLOps, ML/AI models, and AI APIs
- Excellent communication skills and interest in customer-facing engineering
- Curiosity, adaptability, and eagerness to learn and explore technologies
- Experience with Apache Spark or distributed data processing
- Databricks Certification
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, vision, and mental-health support with EAP and wellness stipends. Feedback suggests these offerings are a core strength across locations, though specifics may vary by region.
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Equity Value & Accessibility — Equity and annual bonuses are highlighted as competitive and a major draw, aligning employee success with company growth. Feedback suggests stock options are seen as lucrative, particularly for certain roles and incumbents.
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Leave & Time Off Breadth — Flexible/unlimited PTO and robust paid parental leave are called out as notable components of the package. Feedback suggests these policies support flexibility alongside performance expectations.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
