Remote opportunity at
DatabricksSenior Forward Deployed Engineer, Sr FDE (L5)
Databricks is seeking a Senior Forward Deployed Engineer (Sr FDE, L5) to join the team in a remote capacity. Databricks operates as a data and artificial…
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About This Role
Databricks is seeking a Senior Forward Deployed Engineer (Sr FDE, L5) to join the team in a remote capacity. Databricks operates as a data and artificial intelligence enterprise, providing a unified platform utilized by over 20,000 organizations globally, including seventy percent of the Fortune 500, to scale data and AI applications, analytics, and agents. In this hands-on, client-facing position, the Senior Forward Deployed Engineer collaborates directly with clients to design,…
Job Description
Databricks is seeking a Senior Forward Deployed Engineer (Sr FDE, L5) to join the team in a remote capacity. Databricks operates as a data and artificial intelligence enterprise, providing a unified platform utilized by over 20,000 organizations globally, including seventy percent of the Fortune 500, to scale data and AI applications, analytics, and agents.
In this hands-on, client-facing position, the Senior Forward Deployed Engineer collaborates directly with clients to design, construct, and productionize data and AI solutions utilizing the Databricks platform. The professional taking on this role will direct architectural choices, craft reference architectures, develop bespoke applications, and integrate machine learning and artificial intelligence models. Working cross-functionally alongside engineering, product, and developer relations departments, the engineer shapes long-term initiatives while embedding within client teams to tackle complex challenges and deliver measurable business value.
This opportunity suits builders who blend technical engineering acumen with customer empathy, adaptability, and strong communication skills. The responsibilities require traveling to client locations up to twenty percent of the time.
Responsibilities
- Deliver production-grade systems, reference architectures, custom applications, and data ingestion pipelines for clients
- Guide strategic accounts through major big data initiatives, managing technical delivery scope and timelines
- Help customers evaluate and adopt Databricks by bootstrapping and implementing projects
- Oversee system architecture and design choices to maintain security, scalability, and adherence to company standards
- Collaborate with project managers, architects, and client teams to fulfill technical requirements
- Provide implementation feedback and product insights to engineering and support groups
- Create reusable accelerators, frameworks, and best practices to influence product roadmaps
Requirements
- Minimum of 9 years of professional background in software engineering, data platforms, analytics, or data engineering
- Proficiency in writing code using Python, Scala, or JavaScript/TypeScript alongside modern frameworks
- Working familiarity with at least two standard cloud ecosystems and deep expertise in at least one among AWS, Azure, and GCP
- Extensive background in distributed computing with Apache Spark alongside familiarity with Spark runtime internals
- Familiarity with continuous integration and continuous deployment practices for production environments
- Practical knowledge of MLOps, AI APIs, and machine learning models
- Capability to design and deploy performance-oriented end-to-end data architectures combining pipelines, models, and user interfaces
- Experience managing technical project scope, timelines, and stakeholder conflicts within enterprise client environments
- Ability to travel to customer sites twenty percent of the time
Qualifications
- Databricks Certification
Core Skills
Benefits
- Comprehensive benefits and perks tailored to regional employee needs
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting lists the location as remote, though travel to customers is required 20% of the time.
What level of experience is required for this role?
Candidates must have 9 or more years of experience in software engineering, data platforms and analytics, or data engineering.
What salary is offered for the Senior Forward Deployed Engineer position?
The salary is not stated in the job posting.
What technical skills and cloud ecosystems are expected?
Applicants need coding proficiency in Python, Scala, or JavaScript/TypeScript, deep experience with Apache Spark, and working knowledge of at least two cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
Sample Interview Questions
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