Sr. Platform and DataLake Engineer

Who We Are

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships : Latest News and Announcements | TetraScience Newsroom :

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

The Role

As a Senior Platform and Data Lake Engineer at TetraScience, you will play a critical role in building and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure the seamless ingestion, processing, and storage of significant volumes of scientific data. The role requires extensive experience building and supporting data pipeline infrastructure and hands-on experience in the Databricks ecosystem.

What You Will Do

• Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
• Design, develop, and optimize data pipelines and workflows within the Databricks platform.
• Design and architect services to meet customer data processing needs.
• Implement data quality and governance frameworks to ensure data integrity and compliance.

Requirements

Nice to Have

Benefits

We are not currently providing visa sponsorship for this position.