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Data Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Talent Management Plus, Inc.
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Data Architect (42125)

Position:
Data Architect (42125)

Location: REMOTE

Description:
This engagement will support a Data Warehousing and Data Governance/Security initiative, in helping build Data Architecture chapter foundational capabilities. This project is an important enterprise-wide initiative to build a cloud based data warehouse using a metadata driven approach to reduce bespoke ETL and one off development efforts.

Responsibilities
  • Work closely with cross functional stakeholders ranging from product owners to enterprise architects and platform teams.
  • Create high-level design documents and detailed specifications, in accordance with company architecture standards.
  • Support primarily Analytics initiatives but also operational where appropriate.
Deliverables
  • Develop / assist in creating, documenting, and gaining approvals for solution patterns
  • Participate in technology proofs of concept
  • Develop / assist in creating, documenting, and gaining approvals for architecture decision records
  • Help develop the foundational capabilities of the data arch chapter
  • Support some ‘Business as Usual (BAU)’ tasks
  • Create or assist in creating architectural deliverables that will capture Conceptual & Physical (L1/L2) architecture views as creating supporting documentation
  • Capture and document future use cases
  • Actively review and contribute to rolling 24-month architecture roadmap
Required Skills
  • 5+ years of relevant hands-on data architecture experience
  • 2+ years of relevant hands-on exposure to building data and analytics solutions on AWS
  • 2+ years of ETL architecture experience (Ab Initio or cloud-native tools)
  • Experience with Snowflake
  • Experience with variety of databases e.g. Teradata, Oracle, Maria DB,
  • Experience building architectural patterns at scale, including thoughtfully-designed data solutions, repeatable data pipelines, and efficient software engineering principles
  • Sound understanding of CI/CD, infrastructure engineering and building future ready technology solutions
  • Experience with building data warehouses, marts, business intelligence reports and operational systems
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