Enterprise Data Architect (In person interview)

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.