Databricks: Associate Forward Deployed Engineer — Mountain View, California
Databricks lists a Associate Forward Deployed Engineer opening in Mountain View, California. The job description covers Python, JavaScript, TypeScript, AWS, Azure, Google Cloud, CI/CD.
Recruitment overview
| Organisation | Databricks |
|---|---|
| Post / role | Associate Forward Deployed Engineer |
| Department | Professional Services Operations |
| Employment type | Not specified |
| Notification / job ID | 8910846002 |
| Job location | Mountain View, California |
| Work arrangement | Not specified |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | 2+ years of experience in software engineering, data engineering, or data platforms & analytics |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Databricks
Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.
The position and its setting
Databricks lists Associate Forward Deployed Engineer in Mountain View, California, under reference 8910846002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Department: Professional Services Operations
- Employer listing date: 23 October 2026
Responsibilities and work described
- 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
- Collaboration: closely with senior FDEs, Databricks engineering, and customer support to unblock customers and feed learnings back into the product
- Management: 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
Essential requirements and candidate background
- 2+ years of experience in software engineering, data engineering, or data platforms & analytics
- Full-stack software engineering skills proficiency in Python and JavaScript/TypeScript, and comfort working across back-end services, APIs, and modern front-end frameworks
- Computer science fundamentals: data structures, algorithms, testing, and version control
- Experience: at least one major cloud platform (AWS, Azure, or GCP), or a desire to develop cloud expertise quickly
- Familiarity: CI/CD, and an interest in production data architectures and MLOps, ML/AI models and AI APIs
- 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
- We'll help you build platform depth on the job
Preferred experience and additional strengths
- Experience: Apache Spark or distributed data processing is a plus
- Databricks Certification is a plus, and can be obtained after joining
Location, schedule and contract conditions
For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.
- 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 software engineer looking to grow into a technical leader
- Embed with customer teams, ship production-grade systems, and learn the Databricks platform deeply alongside senior FDEs and our engineering organization
- More About Databricks
- YouTube
- Advertised location: Mountain View, California
Benefits mentioned by the employer
- 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
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Associate Forward Deployed Engineer vacancy is not an offer for reference 8910846002; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Databricks
Applications follow the official employer page linked below.
Open the official Databricks posting below and match the title and reference 8910846002.
Compare your qualifications and experience with the essential conditions for the Mountain View, California position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- JavaScript
- TypeScript
- Spark
- CI/CD
- AWS
- GCP
- Azure
- APIs
- AI/ML
- Google Cloud
- Excel
Important links
| Official notification / job description | Open official page |
|---|
Read the complete official notice before applying. Availability and requirements can change.
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