
Enterprise Solution Architect
Posted Jul 31

Posted Jul 31
This is a fully remote position, open to applicants in United States.
• Develop, implement, and sustain comprehensive system service offerings, facilitated by suitable system orchestration, integration, and automation solutions.
• Continuously explore emerging technologies and offer recommendations on which architecture best meets the evolving needs of clients.
• Design and implement dynamically scalable, highly available, fault-tolerant, and reliable applications on the infrastructure.
• Establish isolated, secure, and disposable infrastructure capable of supporting models in production.
• Enable cloud platform resources for data scientists, engineers, and deployed use cases, and create tools to access, integrate, model, and visualize data (producing reproducible and containerized code).
• Conduct workshops and presentations for clients to showcase the value and capabilities of proposed solutions.
• Offer ongoing technical support and consultancy to clients throughout the project lifecycle.
• Develop/customize, test, deploy, and document orchestration solutions.
• Provide L2/L3 support to cloud administrators and analysts in troubleshooting cloud integration and configuration requests.
• Deliver training and mentorship to team members on technical aspects of solutions.
• Stay updated with emerging technologies, tools, and best practices in solution architecture and system design.
• 3-5+ years of diverse experience in data and solution architecture preferred, with an emphasis on designing and implementing technology solutions.
• One Solution Architect Certification from any of the major three cloud providers (Azure, AWS, Google).
• Practical knowledge of all leading data platforms such as Snowflake, Data Fabrics, and MS Fabric.
• Familiarity with application services in AWS (EC2, ECS) and Azure Container Apps, Azure App Service.
• Capability to explain, configure, and debug networking and routing issues: DNS, Routes, Proxy.
• Knowledge of major ETL tools such as Informatica, Azure Data Factory, Glue, and Fortran.
• Hands-on experience with AI frameworks: Azure Foundry Open AI, AWS Bedrock, LlamaIndex, and CosmoDB.
• Proficiency in Infrastructure as Code with tools like Terraform, Biceps, and CloudFormation.
• Experience with Identity Providers such as Entra, AWS Identity Center, and SCIM.
• Experience in an analytics consulting environment is preferred.
• Familiarity with agile and DevOps tools and practices; experience leading scrums with a DevOps team.
• Experience as a Cloud, DevOps, or SRE Engineer on a cross-functional agile team is preferred.
• Additional benefits and perks may also be available, depending on the position and employment terms.
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