Staff Data Engineer | Luma
Role summary
Dotmatics is seeking a Staff Data Engineer to join their team, focusing on building an AI-Powered R&D platform. This role involves driving improvements in system reliability, performance, and operability, while also mentoring and growing the engineering team. The ideal candidate will have a strong background in data engineering, distributed systems, and cloud technologies, with a passion for AI and its application in software development and drug discovery. Responsibilities include defining system architecture, implementing data processing pipelines, ensuring software quality, and providing technical leadership. The position requires 12+ years of engineering experience, preferably in a SaaS environment.
Our Why At Dotmatics
At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian.
We have a vision for a new Lab of the Future that will change the future of scientific research.
We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.
Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.
Shaping the Future of Science At Dotmatics
Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.
You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.
We are Science Driven. We are Customer Centric. We are Better Together.
What we need
Dotmatics is seeking a Staff Data Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence, Luma fits the way our customers “do science”. It allows scientists to streamline scientific research with adaptive R&D workflows driven by AI and seamless data integration.
As a Staff Data Engineer, you will be responsible for driving improvements in reliability, performance, and operability while helping to hire, mentor, and grow a world-class engineering team. You are curious and have some working knowledge of using AI in your everyday work or in your own personal projects, and be motivated to find new ways to use AI in software development and drug discovery.
Candidates should be based in EST time zone and be willing to visit the office in Boston infrequently for team meets
In this role, you will
- Define and drive system architecture for services within a Node.js/TypeScript ecosystem.
- Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability.
- Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data.
- Guarantee the scalability, maintainability, and security of software solutions.
- Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence.
- Help shape user interfaces that are intuitive and accelerate scientific research.
- Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine.
- We are looking for candidates with 12+ years experience in engineering preferably in a SaaS environment, and ideally with a degree in Computer Science, Software Engineering, or equivalent.
The Key Skills we are looking for
- Advanced working experience in Data Engineering pipelines and Asynchronous processing
- Expert knowledge of Node.js and React.
- Proven experience designing and implementing distributed, event-driven systems and high-level web applications.
- Experience implementing automated testing platforms, unit tests, and integration tests.
- Advanced working experience with large data processing platforms Spark, Databricks,Snowflake
- Professional experience with PostgreSQL and building/consuming RESTful APIs.
- Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads.
- Proficiency with CI/CD tools such as GitHub Actions
- Knowledge of Agile software development practices.
- Setting technical direction, leading cross-team initiatives, and leveling up other engineers.
You may also have experience in
- Scala
- Background in complex data pipelines and scaling.
- Message-based architectures (e.g., Kafka).
- Deployment technologies like Terraform.
- Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers.
- Building Windows applications.
- Building scalable distributed systems using Kubernetes and other cloud-native technologies.
- Experience within Life Sciences or R&D data management.