Remote opportunity at
DatabricksForward Deployed Engineer
Databricks is a data and AI company whose platform is used by more than 20,000 organizations, including 70 percent of the Fortune 500. The company is…
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About This Role
Databricks is a data and AI company whose platform is used by more than 20,000 organizations, including 70 percent of the Fortune 500. The company is headquartered in San Francisco and has more than 30 offices worldwide. This full-time, remote Forward Deployed Engineer role works directly with customers to build and put into production data and AI solutions on the Databricks platform. The engineer owns architecture and design decisions and…
Job Description
Databricks is a data and AI company whose platform is used by more than 20,000 organizations, including 70 percent of the Fortune 500. The company is headquartered in San Francisco and has more than 30 offices worldwide. This full-time, remote Forward Deployed Engineer role works directly with customers to build and put into production data and AI solutions on the Databricks platform.
The engineer owns architecture and design decisions and builds end-to-end systems covering data pipelines, AI and application work. Work includes production solution delivery, reference architectures, custom applications, data ingestion and integration of machine learning and AI models. The role is billable, and projects are expected to be completed to specification.
The engineer embeds with customer teams and works with stakeholders from hands-on technical staff up to executives. The job involves guiding customers on architecture, bootstrapping or implementing projects so they understand and adopt Databricks, and coordinating with Databricks engineers, project leads, architects and support staff to resolve product and implementation issues. The engineer also contributes reusable accelerators and frameworks and feeds product and implementation feedback into the Databricks roadmap.
The posting asks for six-plus years of work in data pipelines, data platforms, analytics or software development. Coding in Python, Scala or JavaScript/TypeScript is needed, along with deep experience with Apache Spark and its runtime internals. Experience across two or more major clouds, deep in at least one, plus CI/CD, MLOps and AI APIs is expected. Travel to customers is about 20 percent of the time, and a Databricks certification is mentioned in the posting.
Responsibilities
- Deliver production-grade customer systems, including reference architectures, custom applications, ingestion and ML/AI integration
- Guide strategic customers through large data and AI projects from design to deployment
- Scope technical delivery with engagement managers and customer input
- Guide customers on architecture and bootstrap or implement projects to drive adoption
- Own architecture decisions to keep solutions secure, scalable and aligned with best practices
- Collaborate with Databricks engineers, project leads, architects and clients
- Feed implementation and product issues back to engineering and support
- Build reusable accelerators and frameworks that scale across accounts
Requirements
- At least 6 years building in data pipelines, platforms, analytics or software
- Coding in Python, Scala or JavaScript/TypeScript and modern frameworks
- Fluency with two or more of AWS, Azure and GCP, and deep skill in one of them
- Deep experience with distributed computing in Apache Spark, including runtime internals
- Some CI/CD experience shipping production releases
- Understanding of MLOps, machine learning models and AI API usage
- Background designing and rolling out production-grade data platforms and apps from start to finish
- Experience delivering technical projects with control of scope, deadlines and results
- Documentation and whiteboarding skills
- Experience with large corporate clients and smoothing out disputes among many parties
- Willingness to keep building skills in new technologies
Qualifications
- Databricks certification (mentioned in the posting; whether it is required is not stated)
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the role remote?
The posting lists the role as remote and full-time, with travel to customers about 20 percent of the time.
What experience is needed?
Six or more years in data pipelines, data platforms, analytics or software development, with deep Apache Spark experience.
Is a salary listed?
No. The posting does not state a salary or pay range.
Is a certification needed?
The posting mentions a Databricks certification but does not say whether it is required.
How do I apply?
The posting does not describe an application process.
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