About the job
About Us
TetraScience stands at the forefront of the Scientific Data and AI revolution. We are committed to pioneering AI-native scientific datasets that empower a transformative suite of next-generation lab data management solutions, scientific applications, and AI-driven outcomes.
As the leading entity within this crucial sector, TetraScience has outpaced competitors in revenue generation. Over the past year, we've become the go-to partner for major players in computing, cloud technology, data, and AI infrastructure, establishing co-innovation and market collaboration. For more insights, visit our Newsroom.
As part of your application process, we invite you to thoroughly review the Tetra Way letter written by our co-founder and CEO, Patrick Grady. This document is pivotal in helping you determine if TetraScience aligns with your values and ethos. We highly recommend you reflect on its contents, as embodying its principles will be essential if you join our team.
The Opportunity
In your role as a Senior Platform and Data Lake Engineer, you will be instrumental in constructing and upholding our data infrastructure. Collaborating with various teams, you will facilitate the smooth ingestion, processing, and storage of extensive scientific data volumes. The position demands a robust background in developing and maintaining data pipeline infrastructures, alongside hands-on experience within the Databricks ecosystem.
Your Responsibilities
- Design, develop, and refine data lake solutions to bolster our scientific data pipelines and analytical capabilities.
- Create and enhance data pipelines and workflows on the Databricks platform.
- Architect services tailored to meet customer data processing requirements.
- Establish data quality and governance frameworks to guarantee data integrity and compliance.

