Job description
Who We Are
TetraScience provides the world’s first and only R&D Data Cloud, Tetra Data Cloud with a mission to transform Life Sciences R&D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Cloud for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class PaaS performance, a team of industry innovators, and excellent product/market fit, TetraScience is positioned to become an iconic life sciences software company.
What You Will Do
We are expanding rapidly and adding a Lead Data Engineer to join our Professional Services Team. The purpose of this role is to help customers implement the Tetra Data Cloud by overcoming complex technical, business and data challenges. As a Lead Data Engineer you should be comfortable leading engagements, design sessions and architecting solutions for customers. You will work directly with external stakeholders, gathering business and data design objectives, resulting in production-based solutions. As a Lead Data Engineer, you will be team focused leader, have excellent collaboration skills and a high commitment to customer success by delivering mission-critical implementations.
Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.
- Work with the customer to understand business requirements, gathering insight to potential positive outcomes, recommending potential outcomes and building a solution based on consensus.
- Coordinate project kickoff meetings with internal and external stakeholders, manage the customer relationship throughout the project, and conduct formal project closeout meetings.
- Take ownership of building data models, prototype and integration solutions that drive customer success.
- Research and prototype data acquisition strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries).
- Design with quality backed by unit tests, integration tests, and utility functions.
- Create visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and other tools.
- Facilitate internal project post-mortems to identify areas of improvement on the next implementation.
Requirements
What You Have Done
- 10+ years of building solutions as a Software Engineer or Programmer.
- 5+ years working in Python and SQL with a focus on Data Engineering and Data Management.
- Excellent communications skills, attention to details, and the confidence to take control of project delivery.
- Quickly understand a highly technical product and effectively communicate with product management and engineering.
- Strong desire to work directly with customers with an intellectually curiosity so solve challenges posed by customer data.
- Team player and ability to roll up your sleeves and do what it takes to make the team successful while leveraging your leadership skills to coach, train and mentor less experienced Professional Services team-members.
- Ideal if you have experience with tools like Spotfire, Tableau, Jupyter notebook (any of them) and Elasticsearch, science background, or experience with scientific instruments.
- 4+ years of experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes and managing to the delivery milestones.
Benefits
- Unlimited paid time off (PTO).
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Company paid Life Insurance, LTD/STD
- Flexible working arrangements - Remote work + office as needed.
