Analytics Architect


Capstone IT is looking for an Analytics Architect to assist designing, developing, and implementing our Azure data science environments and Power BI Platform. Primary focus will be on architecting and building our Azure data science environment to deploy AI/ML Models, and Power BI solutions with adherence to best practices in workspace management, app development, security, and data modeling. You will collaborate closely with cross-functional teams to understand future analytics needs, design scalable solutions, and ensure a futureproof architecture to drive advanced analytics capabilities.

  • Provide architectural consulting expertise, direction and assistance to Data Architects, Data analysts, Analytics Leadership, IT cloud engineers and other system engineers.
  • Document and develop in-depth knowledge of our client’s existing architecture/infrastructure and technology portfolio.
  • Develop, document, communicate and enforce Analytics technology standard policies.
  • Make recommendations about platform and technology adoption, including development frameworks, languages, libraries, and DevOps and CI/CD tooling for web, client-server and mobile applications.
  • Design, develop and oversee the implementation of end-to-end Analytical cloud integrated systems.
  • Evaluates existing applications and systems. Recommends improvements or modifications.
  • Acts as technical mentor for members of the Analytics team, providing input and feedback to others. Review Business Requirements Documentation, Technical Design Documentation and participate in peer review cycles with technical & non-technical counterparts.
  • Assign tasks to the appropriate resource within the team; follow up on assigned tasks to ensure adherence to proposal internal and delivery milestones.
  • Requires experience in design, implementation, and/or support of highly AI and Analytical applications (i.e. having an architectural sense for ensuring availability, reliability, etc.)
  • Experience with building, delivering, and managing Cloud Data Science environments and Enterprise Power BI systems.
  • Experience with conducting proof-of-concept, developing prototyping, and building reference models.
  • Excellent understanding of multi-tier architecture: web servers, caching, application server, load balancers and storage.
  • Experience in Azure DevOps including the design and automation of Infrastructure as a Service and Platform as a Service capabilities including virtual networks, virtual machines, cloud services, web services, data services and IoT services.
  • Experience with data integration, relational databases, and SQL
  • Knowledge of development methodologies and more than one of the following languages: SQL, DAX, Python, R

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