8997 Solutions Architect Windchill Developer jobs in Chicago,IL

Solution Architect

Aramco

Chicago, IL 60290

Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.
Containerization: Experience with Docker and Kubernetes for deploying data services.
Data Processing: Strong proficiency in batch and stream processing.
Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.
Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.

Cognizant

Chicago, IL 60290

3+ years of that should be MA WM Active version
15+ years of overall Manhattan warehouse management implementation experience
Must have led at least one
Able to advise on implementation process, timeline, roles and responsibilities and discuss best practices
Travel – must be willing to travel to and work at client site
Able to review Manhatton design and approve it or recommend new/better design
Knowledge of SCI reporting, Proactive coding, MHE integrations etc
Multiple MA WMOS implementations under his/her belt

Coforge

Chicago, IL 60290

CoSourcing Partners - Enterprise-AI and IT Services Company

Chicago, IL 60290

Jobot

Chicago, IL 60601

Bunzl

Morton Grove, IL 60053

10+ years of hands-on software engineering experience, with strong depth across backend, frontend, APIs, and integrations.
Strong experience with modern application development and distributed systems.
Experience evaluating and recommending technology stacks in collaboration with engineering, security, and platform teams.
Proven experience building and supporting production systems in cloud environments
High school diploma or GED required.
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent professional experience.
Practical experience applying AI or AI-assisted tools in engineering or platform workflows (formal ML background not required).
Comfort working with security and compliance teams on approvals and production readiness.
Ability to work across both modern and legacy systems