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Data Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-07-04
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Job #: 1791
Pay Rate:
Not Specified
Job type: contractor

Location:

Chicago, IL

Responsibilities
  • Responsible for ensuring that the data management and governance frameworks are in place and adhered to.
  • Responsible for architecting data engineering pipelines including data acquisition, ingestion, management, processing, and publishing by leveraging various AWS services.
  • Responsible for developing and optimizing database models to store and retrieve company information.
  • Responsible for determining strategic data requirements and creating high-level designs according to these requirements.
  • Responsible for guiding and resolving issues with AWS service configuration, performance, security compliance, data quality issues, and data retrieval.
  • Prepare architecture and high-level design documents for the data engineering pipelines.
  • Designing Dev Ops & Data Ops pipelines and resolving issues during implementation and execution.
  • Responsible for researching data acquisition opportunities.
  • Skillset

    Candidate Self Rating (5)
    Candidate Writeup
    Work Experience (Years)
    Finance Domain Data expertise. Ability to model data in Data Lake and Data Warehouse for analytical use cases. Ability to understand and negotiate solutions with business teams/business analysts. Ability to architect and design data storage, data transformation, data security, data quality, and performance optimization techniques in AWS and Snowflake. Ability to architect and solution data pipelines for batch, streaming, API, message queues, and real-time sources.

    Ability to work with structured, semi-structured, and unstructured data. Ability to create clear and impactful presentations based on audience.

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