About the job
TetraScience is pioneering the integration of scientific data and artificial intelligence with a commitment to significantly enhance human longevity. By leveraging the world's sole open, purpose-built, and collaborative scientific data and AI cloud, we bring unparalleled scientific expertise to accelerate and optimize scientific outcomes. We are at the forefront of the Scientific AI revolution, creating and industrializing AI-native scientific datasets through our innovative suite of next-generation lab data management products and AI-driven solutions.
Our core values dictate our actions and decisions, guiding us in our pursuit of excellence. We seek high-performance team members who genuinely embody our values:
- Transparency and Context: We empower our team to make informed decisions by providing the necessary data and context.
- Trust and Collaboration: Open and honest communication fosters trust, and we are dedicated to maintaining this ethos.
- Fearlessness and Resilience: We embrace challenges and uncertainties, taking calculated risks to drive progress.
- Alignment with Customers: We are devoted to helping our clients achieve their goals, treating them with respect and humility.
- Commitment to Craft: Our passion drives us to focus on the details, as they pave the way for significant achievements.
- Equality of Opportunity: We aim to attract the best talent from diverse backgrounds, valuing unique perspectives and contributions.
Key Responsibilities:
As a Senior member of our Scientific Data Engineering team, you will play a pivotal role in developing Tetra Data and productizable solutions, forming the foundation of our data engineering framework. We are looking for a hands-on data engineer who not only possesses extensive experience but can also mentor junior team members. In this role, you will lead internal design sessions, architect solutions, and collaborate closely with Product Managers and Solution Architects to align business and data design objectives, resulting in robust production-ready solutions. You will be a collaborative leader, showcasing exceptional data engineering skills, overseeing project execution, and demonstrating a strong commitment to customer success through mission-critical implementations.
Your success will be supported by a collaborative environment, enabling you to achieve your objectives with assistance from various internal and external teams.

