Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games
Posted by employer 8 months ago
First seen on Joblaze 7 months ago
Last verified on the company career page 1 hour ago
Requirements
- Experience
- 6+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Resident Solutions Architect at Databricks, the individual engages with clients to tackle their big data challenges through the Databricks platform, focusing on data engineering, data science, and cloud technology projects. Proficiency in Python or Scala, along with experience in cloud ecosystems like AWS or Azure and distributed computing with Apache Spark, is essential. This position is ideal for seasoned professionals with a strong background in technical project delivery and client management. The role also involves collaboration with various teams to ensure successful project execution and customer satisfaction.
Joblaze insights
- Listed about 7 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page November 12, 2026.
- This exact title is also open at 5 other locations at Databricks: Los Angeles, California, Seattle, Washington, Chicago, Illinois, Dallas, Texas, Denver, Colorado.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,000).
- Starts above 46% of 116 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 34 companies). See Python salary trends
- Python appears in 73.6% of 201 comparable senior data engineering roles in United States; CI/CD appears in 12.4% of 201 comparable senior data engineering roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $180,656–$248,360 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, CI/CD, GCP, MLOps.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games role at Databricks.
From the original posting
CSQ127R318
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will 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.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- 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
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which 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 is listed below and represents 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. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.