Senior Data/AI Architect

Charter Next Generation•Delaware, OH

4d•Hybrid

About The Position

At CNG, we are owners. We empower every individual to make a significant impact — because every moment matters. Whether you’re starting your career journey or aiming for the next level, we foster a supportive environment where your contributions are valued and celebrated. From supporting internal teams to developing next-gen materials, our professional roles span strategy, innovation, and purpose. At CNG, you’ll do work that matters—and own it all.

Requirements

8+ years of experience across data architecture, data engineering, machine learning engineering, software engineering, data science, or related technical disciplines.
Strong hands-on Python and SQL experience.
Demonstrated experience designing and delivering production data and/or ML systems.
Experience with modern cloud data platforms and enterprise data architecture.
Experience designing APIs, services, or integrations between analytical platforms and business applications.
Understanding of modern software engineering practices including Git, CI/CD, automated testing, monitoring, and deployment.
Experience leading complex technical initiatives and mentoring technical professionals.
Ability to communicate effectively with both technical teams and senior business stakeholders.

Responsibilities

Design scalable architectures for enterprise data, analytics, machine learning, and AI solutions.
Remain hands-on in the development of Python, SQL, data pipelines, APIs, and production applications.
Design and build integrations across ERP, manufacturing, operational, commercial, finance, and other enterprise systems.
Develop APIs and services using Python frameworks such as FastAPI.
Establish architecture and engineering patterns for productionizing forecasting, optimization, machine learning, and AI solutions.
Develop and promote MLOps and software engineering practices including CI/CD, automated testing, model deployment, monitoring, and observability.
Define reusable patterns for integrating models and AI capabilities into business applications and workflows.
Partner directly with manufacturing and business teams to understand operational processes and translate them into technical solutions.
Help establish standards for data modeling, data quality, security, governance, integration, and platform architecture.
Evaluate technologies and architecture decisions based on scalability, maintainability, cost, and business value.
Mentor data engineers, analytics engineers, data scientists, and analysts and raise engineering standards across the team.
Support modernization and simplification of legacy data and analytics systems.
Periodically travel to CNG manufacturing locations to support high-value operational and manufacturing initiatives.