Data Architect x3

Data Architect

Must be located in Chicago IL, Washington DC or Denver CO - onsite 5 days a week. Must be able to work W2.

This role is responsible for executing data architectural solutions for complex initiatives spanning multiple Lines of Business and control functions. The Senior Data Architect will collaborate with stakeholders to ensure adherence to enterprise data management policies and standards, design secure data architecture solutions, and support architecture design reviews. A strong focus on cybersecurity and Service Now implementation is required.

The ideal candidate will have deep experience in data management, governance, and Service Now integrations
, combined with proven hands-on expertise in cybersecurity, cloud platforms, and enterprise data architecture
.

• Design and implement secure, scalable data architectures to support enterprise initiatives.

• Lead and execute Service Now implementations and integrations
  , including CMDB, ITSM, ITOM, and reporting workflows.

• Collaborate with cross-functional teams to ensure data-centric security measures align with business needs and compliance requirements
  .

• Facilitate architecture discussions
  , review solutions, and provide guidance on data governance, lineage, quality, and standards
  .

• Educate data management teams on enterprise data architectural principles and cybersecurity best practices.

• Support Agile delivery processes and manage multiple initiatives simultaneously.

• Service Now implementation experience
  , including CMDB, ITSM, ITOM, data reporting, and integrations.

• Hands-on experience with data architecture design in large, complex environments.

• Cloud platform expertise: AWS, Azure, GCP.

• Cybersecurity knowledge: data protection, monitoring, logging, compliance, zero trust architecture.

• Strong data modeling, relational and dimensional design
  , and metadata management skills.

• Hands-on experience with ETL/ELT and API-based data provisioning
  .

• Proficiency with SQL, Python
  , and data analysis/profiling tools.

• Familiarity with big data platforms and database systems: Hadoop, Spark, Oracle, SQL Server, Mongo
  
  DB, Teradata.

• Strong understanding of data governance, critical data elements, lineage, quality, and remediation
  .

• Excellent communication and presentation skills
  , including ability to convey complex ideas to large groups.

• Experience with
  next-generation tools and emerging technologies (AI/ML, RPA).

• Knowledge of metadata/lineage tools, data catalogs, and data contracts
  .

• Familiarity with operational data governance, privacy, and regulatory compliance
  .

• Experience integrating enterprise data pipelines with Service Now and supporting data-driven IT processes.

• Industry certifications (CDMP, TOGAF, cloud certifications) a plus.

• Bachelor’s or Master’s degree in Computer Science, IT, or related field
  , or equivalent experience.

• 5+ years experience as a Data Architect or similar role with hands-on implementation experience.

• 5–10+ years of experience in relational and dimensional data modeling
  , metadata management, and data integration.

• Ability to independently architect solutions, lead code/design reviews, and ensure quality throughout projects.