Forward Deployed Engineer
New
D
DatabricksData and AI
Remote - DenmarkFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonGCPJavascriptTypeScriptAzureData engineeringSparkScalaMLOps
Requirements
- Extensive experience in data engineering, data platforms & analytics, or software engineering
- Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
- 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
- Experience with technical project delivery - managing scope, timelines and measurable outcomes
- Documentation and white-boarding skills
- Experience working with enterprise clients and managing conflicts across a broad stakeholder range
- Databricks Certification
Responsibilities
- 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
- 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
- Guide customers on architecture and design to ensure successful adoption of Databricks
- Lead architecture and design decisions ensuring solutions are secure and scalable
- Work cross-functionally with internal teams to ensure technical engagement success
- Provide product and implementation feedback to Engineering and Customer Support teams
- Embed with customer teams to understand challenges and deliver impact
- Contribute accelerators, frameworks, and best practices to influence the product roadmap
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