Live opening · Posted 25 days ago

Senior Architect

Data Science DS · United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 25 days ago
CompanyData Science DS
LocationUnited States (Remote)
Work modeNo
SourceLinkedin
ListedPosted 25 days ago

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About the role

Description supplied by the original job listing.

Role Description The Senior Architect role at Data Science DS is a part-time, remote position focused on designing and guiding the technical architecture that supports the company’s training and consulting platforms. This role involves defining system and solution architecture, collaborating with software developers on implementation details, and ensuring seamless integration between learning management systems, analytics tools, and external services. The Senior Architect will review and improve existing architectural designs, propose scalable and secure solutions, and create technical documentation and standards to support efficient development. Day-to-day activities include working with stakeholders to understand business and learner requirements, advising on technology choices, and overseeing architectural aspects of new features and enhancements. The role requires proactive communication in a distributed environment and the ability to balance long-term technical strategy with practical constraints.
Qualifications
Candidates should possess strong Architecture and Architectural Design skills, with experience designing scalable, secure, and maintainable systems.
Candidates should possess Software Development skills, including familiarity with modern programming languages, development frameworks, and best practices.
Candidates should possess Integration skills, with a proven ability to connect platforms, APIs, data pipelines, and third-party tools.
Candidates should possess Project Management skills, including planning, coordination, and stakeholder communication in technical projects.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and SaaS architectures is highly beneficial.
Knowledge of data and analytics ecosystems, including data warehouses, ETL tools, and BI solutions, is preferred.
Strong analytical, problem-solving, and documentation skills, with the ability to work independently in a remote setting.
Bachelor’s or master’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.

Work arrangement
No

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