Role at a glance
- Salary
- Not Disclosed
- Location
- Mountain View, California, United States Remote - California, United States
- Work arrangement
- Hybrid
- Experience
- 2+ years of experience in software engineering, data engineering, or data platforms & analytics.
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Role Summary
Associate Forward Deployed Engineer role at Databricks, embedding with enterprise customer teams to build and productionize data and AI solutions on the Databricks platform. The early-career role is hybrid with an expected office presence in Mountain View, CA and approximately 20% travel to customer sites.
What You'll Do
- Deliver production-grade systems and reference architectures, contributing reusable frameworks, tools, and best practices
- 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 with senior FDEs, Databricks engineering, and customer support to unblock customers and feed learnings back into the product
- Manage technical scope and timelines for assigned workstreams, growing toward end-to-end delivery ownership
- Work with the Databricks technical team, Project Manager, Architect, and customer team to deliver the technical components of the engagement
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A software engineer with 2+ years of experience, strong full-stack skills in Python and JavaScript/TypeScript, and interest in customer-facing engineering work.
Required
- 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...
- 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...
- Travel to customer sites expected approximately 20% of the time
Preferred
- Experience with Apache Spark or distributed data processing
- Databricks Certification (can be obtained after joining)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
CSQ427R339
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.
About Databricks
Databricks 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.
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 Mountain View, CA office. 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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.