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Data Architect 

Schaumburg, IL



  • Work on Data Warehouse, Data Lake and BI projects for clients 
  • Design and develop software tools into existing resources. Be responsible for design, coding, testing, packaging, debugging, documentation and deployment of software systems. 
  • Work independently to produce required functional, technical, and user documentation (e.g., business requirements, functional and technical specifications, system architecture, data flows, end-users training requirements) on assigned projects. 
  • Work and collaborate with data engineers, scientists, engineers and IT operations to build tools manipulating data 
  • Forge strong partnership with our client’s stakeholders to ensure success of data initiatives 
  • Resolve critical data issues as they arise 
  • Implement fault tolerant data integrations between internal systems and with third-party APIs, supporting product and marketing needs 
  • Create and integrate internal A/B testing tooling for engineering and product teams 
  • Tool data systems for observability, including logging, metrics monitoring, and dashboarding 
  • Assist with data-related technical issues and support their data infrastructure needs. 
  • Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources 
  • Assemble large, sophisticated data sets that meet functional / non-functional business requirements. 
  • Build and maintain optimal data pipeline architecture 

2+ years of minimum experience is required in the following

  • Python  
  • SQL 
  • Building Data Pipelines 
  • Data Lakes 
  • ETL Framework 
  • Pub/Sub Architecture 


  • JavaScript 
  • Snowflake 
  • Tag Management Systems (Google Tag Manager and/or Tealium) 
  • Apache Airflow 
  • Big Query 
  • Google Cloud Platform 
  • Apache Kafka 
  • Postman 
  • Server-side JavaScript 


  • Python  
  • SQL 
  • Building Data Pipelines 
  • Data Lakes 
  • ETL Framework 
  • Pub/Sub Architecture 

Job Details

  • Seniority Level
  • Senior Level
  • Employment type
  • Full Time

Job Application

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