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Data Modeler

  • Data Modeler job type Posted on: Nov 04, 2026
  • Data Modeler experience level Intelix.AI
  • Data Modeler employment type Chicago, Illinois
  • Data Modeler employment type Onsite
  • Data Modeler salary Full-time

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Job Title :

Data Modeler

Job Type :

Full-Time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Principal Data Modeller | Credit / Financial Data

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Contract

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Chicago | Hybrid / flexible working

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This role requires a senior data modeller/architect to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.

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This is a hands-on modelling authority position!

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\n


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THE ROLE:

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  • Own the conceptual → logical → physical data model for a core credit domain
  • \n
  • Define and refine key entities such as issuer, instrument, rating, event, and time/history
  • \n
  • Work across fragmented and under-documented data sources to establish clean, canonical definitions
  • \n
  • Produce source-to-target mappings, data dictionaries, and lineage artefacts
  • \n
  • Ensure models are aligned with downstream delivery (data products, feeds, APIs)
  • \n
  • Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
  • \n
  • Set modelling standards that others can follow and build against
  • \n
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\n


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THE REQUIREMENTS:

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\n


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    \n
  • Strong experience owning enterprise data models (conceptual, logical, physical)
  • \n
  • Proven background in financial services data (credit, risk, markets, or reference data)
  • \n
  • Ability to work in messy environments and reverse-engineer existing data structures
  • \n
  • Experience producing canonical models and governance artefacts
  • \n
  • Comfortable operating independently without heavy oversight
  • \n
  • Strong stakeholder engagement and ability to challenge where needed
  • \n
  • Exposure to Snowflake / modern cloud data platforms
  • \n
  • Experience working with data products, feeds, or APIs
  • \n
  • Familiarity with Data Vault / dimensional modelling approaches
  • \n
  • Experience in environments with multiple data consumers and distribution channels
  • \n
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Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

b1c4a3522b8799f4

Employment:

Full-time

City:

Chicago

Job Origin:

ziprecruiter

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Job Description

Principal Data Modeller | Credit / Financial Data

\n

Contract

\n

Chicago | Hybrid / flexible working

\n


\n


\n

This role requires a senior data modeller/architect to take ownership of a complex financial data domain within a global data and analytics environment focused on defining and stabilising a core credit data model used across multiple products and consumers. You’ll be expected to operate independently, make modelling decisions with incomplete information, and leave behind a clear, buildable structure for engineering teams.

\n


\n

This is a hands-on modelling authority position!

\n


\n


\n

THE ROLE:

\n


\n


\n
    \n
  • Own the conceptual → logical → physical data model for a core credit domain
  • \n
  • Define and refine key entities such as issuer, instrument, rating, event, and time/history
  • \n
  • Work across fragmented and under-documented data sources to establish clean, canonical definitions
  • \n
  • Produce source-to-target mappings, data dictionaries, and lineage artefacts
  • \n
  • Ensure models are aligned with downstream delivery (data products, feeds, APIs)
  • \n
  • Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguity
  • \n
  • Set modelling standards that others can follow and build against
  • \n
\n


\n


\n

THE REQUIREMENTS:

\n


\n


\n
    \n
  • Strong experience owning enterprise data models (conceptual, logical, physical)
  • \n
  • Proven background in financial services data (credit, risk, markets, or reference data)
  • \n
  • Ability to work in messy environments and reverse-engineer existing data structures
  • \n
  • Experience producing canonical models and governance artefacts
  • \n
  • Comfortable operating independently without heavy oversight
  • \n
  • Strong stakeholder engagement and ability to challenge where needed
  • \n
  • Exposure to Snowflake / modern cloud data platforms
  • \n
  • Experience working with data products, feeds, or APIs
  • \n
  • Familiarity with Data Vault / dimensional modelling approaches
  • \n
  • Experience in environments with multiple data consumers and distribution channels
  • \n
\n


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