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Data Platform Application Architect

Job in Mission, Johnson County, Kansas, 66201, USA
Listing for: Devcity
Full Time position
Listed on 2026-03-01
Job specializations:
  • Engineering
    Data Engineer, Systems Engineer
  • IT/Tech
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We are looking for an experienced Data Platform Architect who will be responsible for designing the architecture of DWH/ODS solutions on Oracle, MSSQL or Azure platforms. The role focuses on data structure design, modeling, architectural project management and working with large data platforms. The candidate must have proven experience with designing big data solutions and modeling tools.

Mission
  • Design the architecture of data solutions of the type DWH / ODS
  • Define data models, integration relationships and architectural standards
  • Collaborate on long-term projects as an architect
  • Work with large data platforms (TB of storage, hundreds of thousands of customers)
  • Use modeling tools for the design and documentation of data structures
  • Collaborate with development, analysis and infrastructure teams
Skills
  • At least 5 years of experience in the design of the architecture of data solutions DWH or ODS
    • on the Oracle or MSSQL or Azure platform
  • Participation as an architect in at least 1 project that:
    • was focused on the design of the DWH/ODS architecture
    • lasted at least 2 years
  • At least 3 years of work as an architect of ODS or DWH with an environment that meets at least one of the following conditions:
    • core layer with a size of min. 1 TB
    • total database size of min. 5 TB
    • contains data for min. 500,000 customers
  • Knowledge of at least one modeling tool:
    • Erwin
    • Power Designer
    • Sparx Enterprise Architect
    • Db Schema
    • Oracle Data Modeler
Advantage
  • Experience with cloud data platforms (Azure Synapse, Databricks)
  • Knowledge of ETL/ELT tools
  • Experience with data governance and standards
  • Experience from the financial sector
  • Great colleagues and fully flexible work policy
  • Career coaching and development
  • Technical training and workshops
  • Technical equipment for work (Mac / Windows)
  • Company psychologist for mental well-being
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