Senior Data Architect & ML Engineer - Hybrid Chicago

Gulf Coast Automation Group

Chicago (IL)

Hybrid

USD 165,000 - 220,000

Full time

2 days ago
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Job summary

Gulf Coast Automation Group seeks a Senior Data Architect and Engineer to define scalable data architectures and deliver production data, analytics, ML, and AI solutions across manufacturing, supply chain, and financial functions. This hybrid Chicago role emphasizes hands-on delivery and leadership in a dynamic environment.

Ideal candidates bring 8+ years in data-related disciplines, strong Python/SQL skills, and experience with Snowflake, dbt, and modern cloud data platforms, with travel to

Qualifications

  • Eight or more years of experience in data architecture, data engineering, ML engineering, or related fields.
  • Strong hands-on Python and SQL skills with production data or ML systems.
  • Experience with enterprise data architecture, cloud data platforms, APIs, and integrations with business apps.
  • Ability to lead complex technical initiatives and mentor technical professionals.
  • Experience with Snowflake, dbt, FastAPI, Azure, Terraform, Databricks, MLOps, Generative AI preferred.

Responsibilities

  • Design scalable architectures for enterprise data, analytics, ML, and AI, while hands-on with Python, SQL, pipelines, APIs, and apps.
  • Build integrations across ERP, manufacturing, operational, finance, and other enterprise systems.
  • Establish reusable MLOps patterns for CI/CD, testing, deployment, monitoring, observability, and AI-enabled workflows.
  • Set standards for data modeling, quality, security, governance, integration, and platform architecture.
  • Partner with business and manufacturing teams, mentor data professionals, modernize legacy systems, travel as needed.

Skills

Python
SQL
Data architecture
Data engineering
ML engineering
Cloud platforms
MLOps
Generative AI

Tools

Snowflake
dbt
FastAPI
Azure
Terraform
Databricks
MLOps
Generative AI

Job description

Gulf Coast Automation Group seeks a Senior Data Architect and Engineer to define scalable data architectures and deliver production data, analytics, ML, and AI solutions across manufacturing, supply chain, and financial functions. This hybrid Chicago role emphasizes hands-on delivery and leadership in a dynamic environment.

Ideal candidates bring 8+ years in data-related disciplines, strong Python/SQL skills, and experience with Snowflake, dbt, and modern cloud data platforms, with travel to

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