Job Description

Employment Type: Full-time Location Type: Remote

Position Overview

TetraScience is seeking a player-coach to lead the Scientific Data Engineering (SDE) Team. This role is crucial for building Tetra Data, the foundation of our Data Engineering layer. The ideal candidate will be a seasoned data engineer with hands-on experience and the ability to mentor junior team members. As a Technical Lead, you will be responsible for leading internal design sessions, architecting solutions, and collaborating with Product Managers and Solution Architects to deliver production-based solutions. This is a team-focused leadership role that requires excellent data engineering skills, supervision, collaboration on project execution, and a high commitment to customer success through mission-critical implementations.

Responsibilities

• Lead the Scientific Data Engineering (SDE) Team and contribute to building Tetra Data.
• Provide mentorship to junior team members.
• Lead internal design sessions and architect solutions.
• Work directly with Product Managers and Solution Architects to gather business and data design objectives.
• Collaborate on project execution and ensure customer success.
• Work with Product Managers and Solution Architects to understand business requirements, gather insights, recommend potential outcomes, and build consensus-driven solutions.
• Take ownership of building data models, prototypes, and integration solutions.
• Research and prototype data acquisition strategies for scientific lab instrumentation.
• Prototype file parsers for instrument output files (e.g., .xlsx, .pdf, .txt, .raw, .fid, and other vendor binaries).
• Act as a quality gatekeeper, designing with quality backed by unit tests, integration tests, and utility functions.
• Lead internal project post-mortems to identify areas for improvement.
• Rally the team to meet Agile Sprint commitments.
• Actively identify and resolve team inefficiencies.
• Drive results with pragmatic urgency to resolve blockers and unclear requirements.

Requirements

• 10+ years of experience building solutions as a Data Engineer or in similar fields.
• 10+ years of experience working with Python and SQL, with a focus on data.
• 10+ years of experience managing multiple customer-focused implementation projects across cross-functional teams.
• Experience building sustainable processes.

Company Information

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. We combine the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise to accelerate and improve scientific outcomes. TetraScience is 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-generation lab data management products, scientific use cases, and AI-based outcomes.

Core Values:

• Transparency and Context: Trust in people to make the right decisions with data and context.
• Trust and Collaboration: Commitment to open and honest communication.
• Fearlessness and Resilience: Proactively tackling challenges, embracing uncertainty, and taking calculated risks.
• Alignment with Customers: Ensuring customer and partner mission achievement with respect and humility.
• Commitment to Craft: Passionate missionaries who focus on details to enable significant achievements.
• Equality of Opportunity: Seeking the best talent regardless of gender, ethnicity, race, or age, valuing diverse perspectives and talents that align with common values.