Platform Enablement Engineer
Role details
Job location
Tech stack
Job description
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Technical Support:
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Assist data engineers and data scientists with technical challenges and support through direct interactions within their teams.
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Make sure technical debt is identified, understood and managed through. Provide tooling to help manage this debt (testing, automation, AI agents, …).
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Collaborate with data platform and support teams to improve the overall developer experience.
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Evangelism:
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Promote the adoption of the data platform by a daily usage, delivering its value to existing users.
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Stay up to date with industry trends, tools, and technologies relevant to data platforms.
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Upskilling teams
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Assess current team level on Data Platform tools and practices and improve it with training.
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Advertise and animate a community of practice to build improvement to showcase our Data Platform capabilities.
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Create technical content to help developers understand and utilize our platform effectively.
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Feedback Loop:
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Actively gather feedback from the developer to product enhancements to the platform engineering.
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Provide relevant tests for technical assets produced by the data platform engineers and make sure they match current usages within the feature teams.
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Advocate for data engineers and data scientist within the company, ensuring their needs and challenges are understood and addressed.
Requirements
Do you have experience in Spark?, Do you have a Master's degree?, Bachelor's or Master's degree in computer science, software engineering, or related fields.
At least 5 years as an Engineer, with at least 3 years dedicated to data-centric projects.
Technical Expertise:
- Proficient in Python
- Deep expertise in AWS
- Experiences in Infra-as-Code framework
- Experience with Pandas or Spark
- Knowledge of DevOps practices
- CI/CD pipelines
Technological environment:
- AWS: S3, EMR, Glue, Athena, Lake Formation, Cloud Formation, CDK, Lambda, Fargate, …
- Data engineering: Airflow, Parquet, Apache Iceberg
- DevOps: Jenkins, SonarQube, Conda
- Software: Python, Ruff