PMP-Certified Data Modeler & Architect (ERD/DM)

Robotic Technologies Automation; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Robotic Technologies Automation is seeking an experienced Data Modeler to design and maintain comprehensive data models, ensuring alignment with business requirements and governance standards. The role combines data architecture mastery with PMP-certified project management to drive data initiatives across teams.

The ideal candidate will develop ERDs, data dictionaries, and metadata, while coordinating with data engineers, analysts, and stakeholders to deliver scalable and compliant solutions in

Qualifications

• Experience designing and maintaining conceptual, logical, and physical data models.
• Strong knowledge of data governance, quality, and metadata management.
• Experience translating business requirements into scalable data architectures.

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models.
• Analyze business requirements and translate into data models and database structures.
• Develop ERDs, data dictionaries, and metadata documentation.
• Collaborate with analysts, architects, engineers, developers, and stakeholders.
• Define data standards, naming conventions, and modeling best practices.
• Profile and map data, normalize and denormalize as needed.
• Support data warehouse, data lake, and ETL/ELT initiatives.
• Ensure data integrity, performance, and governance compliance.
• Identify data quality issues and recommend solutions.
• Manage project schedules, risks, and stakeholder communications.
• Lead project meetings and track milestones.

Skills

Data modeling

Data architecture

Project management

Education

PMP Certification

Job description

Robotic Technologies Automation is seeking an experienced Data Modeler to design and maintain comprehensive data models, ensuring alignment with business requirements and governance standards. The role combines data architecture mastery with PMP-certified project management to drive data initiatives across teams.

The ideal candidate will develop ERDs, data dictionaries, and metadata, while coordinating with data engineers, analysts, and stakeholders to deliver scalable and compliant solutions in