What You Will DoYou will be leading a team of Scientific Data Engineers (SDE) and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineering leader who is experienced, hands-on, and can also provide mentorship to junior team members. As a tech lead/manager, you should be comfortable managing engineering tasks, leading internal design sessions, implementing solutions, and driving projects to final production releases. You will work directly with cross-functional teams like Product Managers, Scientific Business Analysts, and Solution Architects to gather business and data design objectives, resulting in production-based solutions. You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have 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.
- Manage a team of SDEs. Supervise their career growth and performance.
- Work with cross-functional teams to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
- Take ownership of building data models, prototypes, and solutions that drive customer success.
- Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries
- Extract reusable schema components and parsing functions, and productize them into Python libraries
- Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
- Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
- Drive value for the customers - verify the solution fulfills their requirements and provides value
- Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.
- Promote team-wide process/technology improvements on product quality and developer experience
- Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.
- Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
Requirements- 10+ years of building solutions as a Data Engineer or similar fields
- 10+ years working in Python and SQL with a focus on data
- Experience manaing engineering teams with five or more direct reports.
- Experience leading projects, managing requirements, and handling timelines
- Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
- Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
- Experience working with pre-clinical data and lab scientists is strongly preferred
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
- Quickly understand a highly technical product and effectively communicate with product management and engineering.
Benefits100% employer paid benefits for all eligible employees and immediate family members.
401K.
Unlimited paid time off (PTO).
Company paid Life Insurance, LTD/STD.
The salary range for this position is $180K-$230K USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate's specific experience, localized market data, and internal team equity.
This position is not eligible for visa sponsorship
