
Data Architect
2 weeks ago
Job Title:
Data Architect
About the Role:
We are seeking an experienced Data Architect to join our team. As a key member of our organization, you will collaborate with clients in the Life Science business to enable cutting-edge technology and leverage data for better decision-making.
You will design, develop, test, and support automated end-to-end data pipelines and applications within our Life Sciences data management and analytics platform (Palantir Foundry, Hadoop, and other components).
This position requires proficiency in data engineering, distributed computation, and DevOps methodologies, utilizing AWS infrastructure and on-premises data centers to support multiple technology stacks.
Key Responsibilities:
- Develop data pipelines by ingesting various structured and unstructured data sources into Palantir Foundry.
- Participate in end-to-end project lifecycles, from requirements analysis to deployment and operations.
- Act as a business analyst for developing requirements related to Foundry pipelines.
- Review code developed by other data engineers, ensuring adherence to platform standards and functional specifications.
- Document technical work professionally and create high-quality technical documentation.
- Balance technical feasibility with strict business requirements.
- Deploy applications on Foundry platform infrastructure with clearly defined checks.
- Implement changes and bug fixes following clients' change management framework.
- Work in DevOps project setups following Agile principles (e.g., Scrum).
- Act as third-level support for critical applications, resolving complex incidents and debugging problems across the full stack.
- Work closely with business users, data scientists, and analysts to design physical data models.
- Provide support in designing ETL/ELT processes with databases and Hadoop platforms.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physical Sciences, or related fields.
- 5+ years of experience in system engineering or software development.
- 3+ years of experience in engineering with a focus on ETL work involving databases and Hadoop platforms.
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