Lead Enterprise Data Architect building and owning foundational data management capabilities at a technology - driven company. Enhancing data architecture for AI and operational use with strategic leadership and technical expertise.
About the role
- Data Engineer building core data asset at Windfall. Collaborating with multiple teams to design and build data pipelines for large datasets in production.
Responsibilities
- Building out the core data asset that everything else at Windfall is built on top of
- Work closely with our product, data science, and other engineering teams
- Personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use
Requirements
- 4-8 years of professional data engineering experience
- Significant experience working with Apache Beam/Spark/Flink or MapReduce
- Strong Object-oriented programming ability in a JVM language
- Expert knowledge of distributed data processing
- Familiarity with different datastores, their differences, and appropriate usages
- Experience at a sub-200 person company
- You communicate as well as you code
- You can simplify complex problems into simple solutions
- You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
- You are comfortable making trade-offs between quality, complexity, and speed-of-delivery
Benefits
- comprehensive benefits package
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