Remote Senior Staff Data Engineer, Data Architect

Summary

Join Manifold as a Senior Staff Data Engineer to lead our team in architecting and developing data engineering capabilities, collaborating with stakeholders to understand their data challenges and drive innovative solutions.

Requirements

• 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

Responsibilities

• 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

Benefits

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