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Sr. Forward Deployed Engineer - Communications, Media, Entertainment & Games

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Databricks Inc.
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 180656 USD Yearly USD 180656.00 YEAR
Job Description & How to Apply Below

Sr. Forward Deployed Engineer - Communications, Media, Entertainment & Games

Mountain View, California

CSQ
127R318

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and product ionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end‑to‑end systems spanning data engineering, AI, and application development. You will deliver customer solutions with empathy, integrating with client systems, training, and other technical needs to help customers get the most value from their data.

The

impact you will have:
  • Production Solution Delivery:
    Lead impactful customer technical projects by delivering production‑grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
  • Transformational Impact:
    Guide strategic customers as they implement transformational big‑data projects, including end‑to‑end design, build and deployment of industry‑leading big‑data and AI applications.
  • Empower Customers:
    Guide customers on architecture and design; bootstrap or implement customer projects to support successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture:
    Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to deliver technical components that meet customer needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and guide rapid resolution for engagement‑specific product and support issues.
  • Customer Immersion:
    Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale:
    Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
What we look for:
  • 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps, ML/AI models and AI APIs.
  • Design and deployment of performant production end‑to‑end data architectures and applications that combine data pipelines, ML/AI models, and user‑facing interfaces.
  • Experience with technical project delivery—managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white‑boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies that support the deployment and integration of Databricks‑based solutions to complete customer projects.
  • Travel to customers 20% of the time.
  • Databricks Certification.
Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role are listed below and represent the expected base salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Zone Pay Ranges

Zone 1: $180,656 — $248,360 USD

Zone 2: $180,656 — $248,360 USD

Zone 3: $180,656 — $248,360 USD

Zone 4: $180,656 — $248,360 USD

Benefits

Databricks offers comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please consult the company’s…

Position Requirements
5+ Years work experience
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