865 Data Architect jobs in Chicago,IL

Rise

Chicago, IL 60695

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required
Minimum of 10+ years of experience in data engineering, distributed systems, or enterprise data architecture
Minimum of 5+ years designing large-scale cloud-based data platforms
Demonstrated experience leading architectural strategy across multiple teams or business units
Location: Chicago or Sussex (4 days in office) [Note: explicit location requirement from the job description]

Aramco

Chicago, IL 60290

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.

Amazon Data Services

Chicago, IL 60604

Experience in MS Excel, Word, and Windows Operating Systems
5+ years of construction or project management experience
Bachelor's Degree in Construction Management, Civil Engineering, Quantity Surveying, Engineering, or 5+ years of relevant experience.
Experience in Conceptual Estimating and Hard Bidding for ground-up commercial construction projects.
Proven track record of creating and releasing high-quality, consistent documentation for processes, standards, and procedures.
Be available to travel up to 20% of the time to support project and program needs.

KPMG

Chicago, IL 60642

Guidehouse Careers

Chicago, IL 60629

BMO Financial

Chicago, IL 60604

Data and AI Governance experience
Risk management experience.
CDMP and/or AIGP certifications.
Typically, 5 - 7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines, with a strong focus on advisory and oversight activities.
Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations.
Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle.
Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs).
Strong analytical and critical-thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications.
Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first- and second-line functions.
Ability to work independently, exercise sound judgment, and appropriately escalate governance or risk concerns.
CDMP - Certified Data Management Professional (by DAMA)
CRISC - Certified in Risk and Information Systems Control (by ISACA) OR CGRC - Certified in Governance, Risk and Compliance (by ISC2)