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As an IT Data Platform Architect, you will be instrumental in designing and implementing a state-of-the-art data platform, focusing on integrating advanced AI/ML capabilities. In this role, you will have a strong foundation in cloud computing, especially with Google Cloud Platform (GCP), and a deep understanding of infrastructure as code, CI/CD practices, and streaming data applications. You will be pivotal in enabling the company to leverage data effectively, integrating AI/ML insights into our business strategy. Your contributions will drive innovation, improve operational efficiencies, and help maintain our competitive edge in a rapidly evolving technological landscape.
Job Responsibility:
Develop a high-performance data architecture to support large-scale data processing and AI/ML analytics
Lead effort to implement infrastructure as code using tools like Terraform and Ansible to automate the deployment of both infrastructure and applications
Design CI/CD integrations using GitHub, GitHub Actions, Jenkins, ensuring smooth deployment on GCP
Create, update, and maintain comprehensive documentation, including procedural/process guides and infrastructure topology diagrams
Stay updated with technological advancements, advocating for and implementing necessary changes and updates to our systems
Proactively identify improvement areas in infrastructure architecture and develop plans for enhancements
Work with streaming data applications, ensuring robust data flow and integration
Possess knowledge of containerization technologies and orchestration tools to manage and scale applications effectively
Build reusable code, components, and services, focusing on versioning, reconciliation, and robust exception handling
Communicate complex technical concepts effectively to both technical and non-technical stakeholders
Requirements:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
8+ years of relevant experience in data platform architecture
Experience with containerization technologies
Demonstrated ability in building and managing data platforms with integrated AI/ML capabilities
Strong knowledge and experience in GCP, with familiarity in other cloud platforms
Have extensive experience in data architecture, especially in supporting AI/ML applications
Demonstrate expertise in infrastructure as code, CI/CD practices, and troubleshooting across various technical domains
Show strong ability in handling streaming data applications
Can effectively communicate technical concepts to diverse audiences
Are a proactive problem-solver with a keen eye for improving system architectures
Nice to have:
Telecom experience within the Enterprise and Wholesale domain highly desired
What we offer:
competitive medical, dental, vision, and life insurance
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