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Data Architect II

2 months ago

Charlotte, North Carolina, United States Pyramid Consulting, Inc Full time
About the Role

We are seeking a highly skilled Data Architect II to join our team at Pyramid Consulting, Inc. as a contract position. This is a 12+ months opportunity with long-term potential.

Key Responsibilities
  • Collaborate with senior architects and delivery partners to ensure that all relevant project teams follow a common set of principles and patterns that utilize a standard set of technology frameworks and libraries.
  • Research and conduct proof-of-concepts to ensure solutions are built in alignment with platform principles and standards and drive the architecture for key cross-team/cross-product development projects.
  • Define the feasibility of use cases along with architectural design for the AI platform.
  • Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
  • Work with business and delivery partners to understand future requirements and implications for architecture.
  • Identify architecture solution alternatives, driving business requirements, and availability of new technologies.
  • Identify new technologies and tools to support architecture(s) and determine architectural roadmaps.
  • Work closely with security and risk leaders to foresee and overturn risks.
  • Review solutions and projects to ensure they are consistent with standard methodologies in data and analytics.
Requirements and Technology Experience
  • Key Skills: AI/ML Development, Python/R/SAS programming language, DevOps tools.
  • Bachelor's Degree in a related field (Computer Science, AI/Client).
  • 5 to 8 years of AI/Client development experience.
  • Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python).
  • DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
  • AI Architecture - data management, governance, model building and deployment.
  • Knowledge and implementation experience of AI/Client in AWS Cloud services.
  • API's, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech.
  • Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.
  • Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python).
  • DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
  • AI Architecture - data management, governance, model building and deployment.
  • Knowledge and implementation experience of AI/Client in AWS Cloud services.