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4 hours ago
The successful Data Architect will be responsible for designing and implementing scalable data models and schemas, ensuring high availability, performance, and reliability of our data systems. They will collaborate closely with analytics, data science, product, and engineering teams to deliver high-quality, trusted data.
To be considered for this role, candidates must have at least 7 years of experience in data engineering, with a minimum of 2 years in a lead position. A proven track record of leading end-to-end data initiatives from design to production is essential. Additionally, they should possess strong knowledge of data warehousing, data lakes, and modern data platforms, as well as expert-level SQL and proficiency in Python/PySpark.
Key requirements include:
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- 7+ years of experience in data engineering with at least 2+ years in a lead role.">\
- Proven experience with batch + streaming data solutions, CDC, and event-driven architectures.\
- Strong knowledge of data warehousing, data lakes, and modern data platforms.\
- Expert-level SQL and proficiency in Python/PySpark.\
- Track record of leading end-to-end data initiatives from design to production.\
- Excellent problem-solving and stakeholder management skills.\
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