{"schemaVersion":"jobsearcher.job.v1","id":"2d15df83fd1ca5bee8bcedd4","url":"https://jobsearcher.com/jobs/2d15df83fd1ca5bee8bcedd4","canonicalUrl":"https://jobsearcher.com/jobs/2d15df83fd1ca5bee8bcedd4","title":"Enterprise Architect/Data Architect","description":"Job TitleAI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics.AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making.AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS).Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing.AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows.Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer).Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes.AI Integration: Experience moving AI projects from \"Proof of Concept\" (PoC) to full-scale enterprise production.","company":"Echo It Solutions","rawCompany":"echo it solutions","city":"Industry","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:26:40.119Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Enterprise Architect/Data Architect","description":"Job TitleAI/ML Strategy: Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics.AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).Data Mesh & Analytics: Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making.AI Ethics & Security: Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.Cloud Platform: Proficiency in AWS Ecosystem (S3, SageMaker, Redshift, Glue, Bedrock, and EKS).Data Frameworks: Experience with Snowflake, Databricks, or Apache Spark for large-scale data processing.AI Frameworks: Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows.Automation: Strong background in IaC (Infrastructure as Code) using Terraform or AWS CloudFormation.AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer).Analytics Background: Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes.AI Integration: Experience moving AI projects from \"Proof of Concept\" (PoC) to full-scale enterprise production.","datePosted":"2026-08-25T04:26:40.119Z","dateModified":"2026-08-25T04:26:40.119Z","hiringOrganization":{"@type":"Organization","name":"Echo It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Industry","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2d15df83fd1ca5bee8bcedd4"},"url":"https://jobsearcher.com/jobs/2d15df83fd1ca5bee8bcedd4"}}