Senior Data Architect

Role Overview

• Participating in developing and implementing an overall organizational data strategy. The strategy includes data architecture, data management standards, implementation and management of data warehouses, and data analytics systems.
• Creating data architecture within the organization, applying architectural principles to ensure the IT solutions are secure, reliable, scalable, and sustainable, and developing a cohesive technical vision with IT standards.
• Collaborating closely with IT Infrastructure, Bioinformatics, and BlueRock functional groups to ensure business needs are actively being aligned with our solution, and both business and technical requirements are understood and documented by all stakeholders.
• Architecting, creating, managing, and optimizing data pipelines, designing compute workflows and storage solutions for a variety of data assets, and developing integrated data solutions to drive success in analytics workflows.
• Designing and implementing comprehensive solutions for transferring, storing, delivering, and optimizing R&D, TechOps, and MFG data, and associated data specification, documentation, SOP, WIs etc., using public cloud technology (AWS). Design, implement, and maintain data pipelines, ETL workflows, analytical solutions, and respective cloud and computing environments; or implement and configure third-party solutions.
• Working closely with IT teams and vendors to design, implement, and/or improve data integration capabilities that are scalable and maintainable and deliver optimal value based on agreed-upon requirements.
• Implementing and owning data integration across our application stack that keeps data fresh and FAIR.
• Creating reference diagrams, charts, and documentation for the architecture.
• Ensuring quality, availability, and integrity of code, solutions, and respective systems and integrating proactive strategies and best practices regarding data integrity, security, scalability.
• Actively identifying new technologies and practices in the domain through internal and external network. Telecommuting permitted.

Requirements

• Bachelor’s degree or equivalent in Data Science, Computer Science, Electronic Engineering or related field plus 5 years of experience in an engineering role.
• Strong data and analytics skills. Expertise with AWS, Azure cloud technology. Experience in biotech industry.

Tech Stack

• AWS
• Azure
• Cloud
• ETL