Data Engineering Lead
ArineFull Time
Expert & Leadership (9+ years)
The ideal candidate should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in data engineering, with a strong focus on building and managing data platforms. Experience with AWS cloud services, particularly data lakes and data warehouses, is essential. Strong understanding of data modeling, ETL processes, and data warehousing concepts is required, along with experience in designing and implementing scalable data architectures.
As Manager, Data Engineering, you will oversee a team of data engineers and architect, implement and manage several large, core business, data lakes and data warehouses, comprising data from multiple disparate sources. You will define and drive the data engineering vision, strategy, and roadmap aligned with business goals, design and oversee the implementation of modern, scalable data architecture on AWS cloud, lead data platform modernization and migration initiatives, build, lead, and mentor a high-performing team of data engineers, oversee the ingestion, transformation, and integration of large-scale, complex data sets, ensure high availability, reliability, and performance of the data platform, and collaborate with various teams to ensure secure and governed access to data assets.
Cloud-native payment card processing platform
Zeta provides a platform for payment card processing that is designed for banks, financial institutions, and fintech companies. Their main product, the Omni Stack, allows clients to easily create and manage digital credit, debit, and prepaid card programs. This platform works by integrating with existing systems through APIs, which helps streamline the payment processing experience. Zeta stands out from its competitors by focusing on cloud-native solutions and ensuring compliance with important regulations, which helps build trust with their clients. The company's goal is to make payments seamless and less noticeable in everyday transactions, moving towards a future where payments are 'invisible'.