Sign upLog in
See more jobs

Enterprise Architect/Data Architect

Echo IT Solutions, Inc

  • Torrance, CA
  • 30+ days ago

    Highlights

    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. AWS Cloud Governance: Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).

    Numbers & Facts

    LocationTorrance, CA

    Description

    Job description:
    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, GuardDuty) are strictly followed.

    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.

    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.

    Similar Jobs

    See more jobs