{"schemaVersion":"jobsearcher.job.v1","id":"a49e560bdd0a7cfadcc2b06f","url":"https://jobsearcher.com/jobs/a49e560bdd0a7cfadcc2b06f","canonicalUrl":"https://jobsearcher.com/jobs/a49e560bdd0a7cfadcc2b06f","title":"Enterprise Data Architect (In person interview)","description":"Enterprise Architect (Data, AI & AWS) (In person interview required)Torrance, CA 100% Remote roleFulltime/contract/C2CJob DescriptionEnterprise Architect (AI & Cloud Transformation)1. Key Responsibilities (The \"Strong Wants\")• AI/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, Guard Duty) are strictly followed.2. Preferred Technical Stack• 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.3. Skills & Qualifications• 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":"Programmers.io","rawCompany":"programmersio","city":"Industry","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-07T10:32:33.684Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Enterprise Data Architect (In person interview)","description":"Enterprise Architect (Data, AI & AWS) (In person interview required)Torrance, CA 100% Remote roleFulltime/contract/C2CJob DescriptionEnterprise Architect (AI & Cloud Transformation)1. Key Responsibilities (The \"Strong Wants\")• AI/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, Guard Duty) are strictly followed.2. Preferred Technical Stack• 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.3. Skills & Qualifications• 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":"2026-06-07T10:32:33.684Z","dateModified":"2026-06-07T10:32:33.684Z","hiringOrganization":{"@type":"Organization","name":"Programmers.io","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Industry","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a49e560bdd0a7cfadcc2b06f"},"url":"https://jobsearcher.com/jobs/a49e560bdd0a7cfadcc2b06f"}}