BlueRock
biotech
SeniorDataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Architect at BlueRock. Skills: Data Strategy, Data Architecture, Data Technologies, Cloud Technology. Develop overall data strategy. Develop data architecture”
Industry & Context.
Optimize data pipelines; Optimize data solutions
What They're Looking For.
Must Have
Bachelor’s degree or equivalent, 5 years of experience in an engineering role, data and analytics skills, Expertise with AWS, Expertise with Azure cloud technology, Experience in biotech industry
What You'll Do.
Develop overall data strategy
Develop data architecture
Select data technologies
Implement data technologies
Develop data governance processes
Develop data cataloging
Develop security processes
Ensure confidentiality
Implement organizational data strategy
Manage data warehouses
Manage data analytics systems
Create data architecture
Apply architectural principles
Ensure IT solutions are secure
Ensure IT solutions are reliable
Ensure IT solutions are scalable
Ensure IT solutions are sustainable
Develop cohesive technical vision
Align business needs with solution
Understand business requirements
Document business requirements
Understand technical requirements
Document technical requirements
Architect data pipelines
Create data pipelines
Manage data pipelines
Optimize data pipelines
Design compute workflows
Design storage solutions
Develop integrated data solutions
Design data transfer solutions
Design data storage solutions
Design data delivery solutions
Design data optimization solutions
Implement data pipelines
Implement ETL workflows
Implement analytical solutions
Implement cloud computing solutions
Implement third-party solutions
Improve data integration capabilities
Create reference diagrams
Create architecture charts
Create architecture documentation
Ensure solution quality
Ensure system quality
Integrate proactive strategies
Integrate best practices
Identify new technologies
Identify new practices
How You'll Work.
Team & Collaboration
Cross-functionally; IT Infrastructure; Bioinformatics; BlueRock functional groups; IT teams; Vendors
Full Job Description
## Description The Senior Data Architect will be responsible for developing an overall data strategy, data architecture and responsible for the selection/implementation of data technologies at BlueRock. The Senior Data Architect will develop and participate in data governance processes, data cataloging and mapping, and security processes, working cross-functionally and ensuring confidentiality, availability, and integrity in the use and management of data. Specific responsibilities of the Senior Data Architect include: 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 tha
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