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New Math Data

Solution Architect

Posted 2 months ago
5-10 years experience
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AI Summary

Design and implement multi-cloud architectures and high-throughput data pipelines to enable real-time analytics and AI-driven insights. Lead cloud migration projects while ensuring data governance, security, and regulatory compliance.

The job duties for the position consist of the following:

  • Design and implement multi-cloud architectures (AWS, Azure, GCP) to enable real-time analytics and AI-driven insights.
  • Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance, grid optimization, and other data-driven applications.
  • Lead cloud migration projects, optimizing performance, scalability, and cost-efficiency.
  • Ensure data governance, security, and regulatory compliance, including NERC-CIP and GDPR standards.
  • Collaborate with cross-functional teams to align technology solutions with business objectives.
  • Define and document technical design specifications and system implementation guidelines.
  • Evaluate the utility and effectiveness of software and hardware technologies, recommending improvements to enhance system performance.
  • Manage IT projects and system activities, coordinating software installation, configuration, and deployment.
  • Monitor computer system performance to ensure reliability and proper functioning.
  • Identify resource requirements for IT initiatives, including hardware, software, and personnel.
  • Oversee hardware installation and infrastructure integration to support enterprise systems.

Experience Requirements:

  • 6 years of experience in data architecture, cloud solutions, AI/ML.
  • Expertise in AWS, Azure, Python, Scala, and distributed data processing.
  • Experience in energy sector applications (smart grids, IoT, trading platforms)

Degree Requirements:

  • Bachelor’s degree with a major in computer science or related field from an accredited institution with six years relevant experience, or a Master’s degree, with a major in computer science or related field from an accredited institution.
  • Telecommuting or remote work is acceptable.

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