Senior Data Architect
About The Position
BlueRock Therapeutics LP is a clinical stage cell therapy company focused on developing new medicines for neurological and ophthalmic diseases. The Senior Data Architect will be responsible for developing an overall data strategy, data architecture, and selecting/implementing data technologies at BlueRock. This role will also involve participating in data governance processes, data cataloging and mapping, and security processes, ensuring data confidentiality, availability, and integrity. The company culture emphasizes courage, urgency, integrity, and community. BlueRock's foundational science involves creating and directing the differentiation of universal pluripotent stem cells into allogeneic cellular therapies, with the ability to engineer these cells for additional therapeutic benefits. They are seeking collaborative individuals committed to advancing cutting-edge cellular therapies.
Requirements
- Bachelor’s degree or equivalent in Data Science, Computer Science, Electronic Engineering or related field.
- 5 years of experience in an engineering role.
- Strong data and analytics skills.
- Expertise with AWS and Azure cloud technology.
- Experience in the biotech industry.
Responsibilities
- Participating in developing and implementing an overall organizational data strategy, including data architecture, data management standards, and the implementation and management of data warehouses and data analytics systems.
- Creating data architecture within the organization, applying architectural principles to ensure 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 aligned with solutions, and that 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 various data assets, and developing integrated data solutions to support analytics workflows.
- Designing and implementing comprehensive solutions for transferring, storing, delivering, and optimizing R&D, TechOps, and MFG data, including associated data specifications, documentation, SOPs, and WIs, using public cloud technology (AWS).
- Designing, implementing, and maintaining data pipelines, ETL workflows, analytical solutions, and respective cloud and computing environments, or implementing and configuring third-party solutions.
- Working closely with IT teams and vendors to design, implement, and/or improve scalable and maintainable data integration capabilities that deliver optimal value based on agreed-upon requirements.
- Implementing and owning data integration across the application stack to ensure data is fresh and FAIR (Findable, Accessible, Interoperable, Reusable).
- Creating reference diagrams, charts, and documentation for the architecture.
- Ensuring the quality, availability, and integrity of code, solutions, and respective systems, and integrating proactive strategies and best practices regarding data integrity, security, and scalability.
- Actively identifying new technologies and practices in the domain through internal and external networks.
Benefits
- Winner of Boston Business Journal's Best Places to Work (Mid-size Company) 2023
- Winner of Comparably's Award for Best Company for Diversity 2022
- Winner of Comparably's Award for Best Company for Women 2022
- Winner of Comparably's Award for Best CEO 2022
- Ranked in the top 5% of companies for Overall Culture on Comparably.
- Engineering Department is ranked in the top 5% of companies for Overall Culture on Comparably.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
