About Manifold:
Manifold is grounded in a deep conviction about the future of medicine, a future in which the care for your loved one is tailored to them, not one-size-fits-all, and is informed by the care of every patient that came before. Manifold builds a next-gen clinical research platform for cancer, powered by AI. Manifold’s solutions are now in use at world-renowned institutions and cutting-edge innovators. We are ready to scale and serve more customers.
About The Role:
Manifold is seeking an experienced and hands-on Senior Staff Data Engineer to help lead our team in architecting and developing our data engineering capabilities. In this role, you will be pivotal in helping leading research institutions integrate a variety of clinical and biomedical data into a unified, impactful platform. This is a unique opportunity to take on both customer-facing responsibilities and product development, collaborating directly with stakeholders to understand their data challenges and drive innovative solutions. You will lead, mentor, and grow a team of engineers, tackling high-impact, unsolved problems that will accelerate scientific discovery and advancement.
What You Will Do:
- Provide technical leadership, guide technology choices, and chart an approach to execution that will help enable our data platform to support the Manifold technology vision
- Collaborate with our engineering, product, and delivery teams to ensure the technology solutions support current and future customer needs
- Lead a highly effective data engineering team to advance our technology roadmap
- Set data architecture principles, create business and logical models of data, and design / document diagrams and high-level integrated designs for our data platform
- Develop technical strategies, designs, and commit quality code reliably and on time to help the team achieve roadmap goals and customer commitments
- Be responsible for the evaluation, selection, implementation, and administration of data management technologies and infrastructure
- Interact with customers to provide expertise on technical implementation questions. Also extract customer feedback to inform our architecture and technical designs
Qualifications:
- 10+ years of experience as a data architect or data engineer, managing complex data pipelines in a SaaS / cloud infrastructure environment
- Have lead teams of up to 6 people in Tech Lead/Architect/Manager roles as the business needs grow
- Can effectively work with leadership, product and customer teams to translate and prioritize business needs into technical sprint planning with clear task definitions
- Ability to design and present architectures and data flows
- Ability to prototype several solutions before proposing and reviewing designs with the data team; And then take prototypes to production, with emphasis on stability, quality, and scalability
- Has deep familiarity with modern data stack and technologies like Snowflake, DBT, Airflow and AWS/Azure infrastructure
- Has implemented and lived with a large scale production data pipeline for 3+ years, facing and solving real-world data problems
- Domain knowledge, in at least one of: health care, clinical research, genomics, bioinformatics
- Past experience working with clinical data (structured and unstructured EHR data), genomic, and imaging data types in healthcare and life-sciences contexts is a plus
- Working with OMOP-like data models and modifying them per customer requirements is a plus
- You want to change from a research institute to a venture-funded growing company that moves faster AND / OR You want to change from a large company to a fast-paced environment to have a greater impact AND / OR You enjoy building and helping others build foundational data layers that can serve multiple use cases and applications that run on top of them AND / OR You enjoy learning new skills and using them to solve business problems.
