Senior Forward Deployed Engineer - Communications, Media, Entertainment & Games
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with clients on short to medium term engagements on their big data challenges using the Databricks platform. You will deliver data engineering, data science and cloud projects that integrate with client systems, include training and other technical tasks, and help customers get the most value from their data. You will design reference architectures, productionize customer use cases, scope work with engagement managers, guide strategic customers through migrations, and provide escalated support. Travel to customers is about 20% of the time.
Requirements
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in Python, Scala, JavaScript/TypeScript and modern frameworks
- Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in one
- Deep experience 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
- Travel to customers 20% of the time
- Databricks Certification
Responsibilities
- Design and build reference architectures, create how-to's and productionalize customer use cases
- Scope professional services work with engagement managers
- Guide strategic customers through big data projects and 3rd party migrations, including end-to-end design, build and deployment
- Consult on architecture and design and bootstrap or implement customer projects
- Provide escalated support for customer operational issues
- Work with the Databricks technical team, Project Manager, Architect and customer team to deliver technical components
- Work with Engineering and Customer Support to provide product feedback and resolve engagement-specific issues
