We are seeking an experienced Senior Data Engineer to contribute to developing our advanced cell therapy manufacturing platform. This role will lead the design, development, and management of scalable data pipelines and architecture. The ideal candidate has extensive experience in data engineering, a strong understanding of modern data architectures, and deep knowledge of big data technologies.
Key responsibilities include:
- Architect, design, and implement data pipelines and infrastructure using Azure Cloud Platform and Databricks technologies
- Collaborate with cross-functional teams to develop scalable and efficient data solutions
- Build and maintain data systems using Azure services, ensuring data quality, reliability, and security
- Work with cell therapy process developers, manufacturing operators, and scientists on data preprocessing and preparation
- Implement monitoring and alerting mechanisms for data pipeline performance
- Document processes and provide guidance to team members
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- At least 6 years of related industry experience
- Expertise in Azure services, data engineering, and cloud environments
- Proficiency in programming languages like Python or C#
- Experience with data visualization tools and data governance practices
- Strong problem-solving skills and ability to work in a fast-paced startup environment
Cellares offers a competitive compensation package, including base salary, stock options, and benefits. This is a full-time, hybrid position located in South San Francisco or Chicago.