EI
Enterprise Architect/Data Architect
Echo IT Solutions, Inc
🇺🇸 United States
On-site
2 months ago
- AI/ML
- AI
- Machine Learning
- AWS Cloud
- AWS
- VPC
- FinOps
- IAM
- GuardDuty
- Redshift
- Bedrock
- EKS
- Snowflake
- Databricks
- Apache Spark
- PyTorch
- TensorFlow
- LangChain
- IaC
- Terraform
- CloudFormation
- ETL
- ELT
2 months ago
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.
Enterprise Architect/Data Architect · Echo IT Solutions, Inc