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Data Architecture Lead
3 weeks ago
We are seeking a seasoned professional to lead our data strategy and architecture initiatives.
- This is a unique opportunity for an experienced technologist to contribute to the development of a comprehensive data platform.
The ideal candidate will have extensive knowledge in designing and implementing scalable data architectures, as well as collaborating with cross-functional teams to integrate data systems.
We require a deep understanding of data processing technologies such as PySpark, Palantir Foundry / Workshop, and Typescript. The successful candidate should also have at least 5-8 years of experience in a similar role and be able to showcase their expertise in these areas.
To be considered for this position, please ensure your CV highlights your achievements in developing complex data architectures and integrating data systems.
Key Responsibilities:- Designing and implementing scalable data pipelines using Palantir Foundry / Workshop
- Developing and maintaining complex data architectures using PySpark
- Collaborating with cross-functional teams to integrate data systems using Typescript
- Palantir Foundry / Workshop
- PySpark
- Typescript
A strong background in software engineering and data science principles is essential for this role. If you have a passion for working with large datasets and driving business growth through data-driven insights, we would like to hear from you.
