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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 :

Principal Data Modeller | Credit / Financial Data ContractChicago | Hybrid / flexible workingThis 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.This is a hands-on modelling authority position!THE ROLE:Own the conceptual → logical → physical data model for a core credit domainDefine and refine key entities such as issuer, instrument, rating, event, and time/historyWork across fragmented and under-documented data sources to establish clean, canonical definitionsProduce source-to-target mappings, data dictionaries, and lineage artefactsEnsure models are aligned with downstream delivery (data products, feeds, APIs)Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguitySet modelling standards that others can follow and build againstTHE REQUIREMENTS:Strong experience owning enterprise data models (conceptual, logical, physical)Proven background in financial services data (credit, risk, markets, or reference data)Ability to work in messy environments and reverse-engineer existing data structuresExperience producing canonical models and governance artefactsComfortable operating independently without heavy oversightStrong stakeholder engagement and ability to challenge where neededExposure to Snowflake / modern cloud data platformsExperience working with data products, feeds, or APIsFamiliarity with Data Vault / dimensional modelling approachesExperience in environments with multiple data consumers and distribution channels

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4486029386

Employment:

Full-time

City:

Chicago

Job Origin:

APPCAST_CPC

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Principal Data Modeller | Credit / Financial Data ContractChicago | Hybrid / flexible workingThis 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.This is a hands-on modelling authority position!THE ROLE:Own the conceptual → logical → physical data model for a core credit domainDefine and refine key entities such as issuer, instrument, rating, event, and time/historyWork across fragmented and under-documented data sources to establish clean, canonical definitionsProduce source-to-target mappings, data dictionaries, and lineage artefactsEnsure models are aligned with downstream delivery (data products, feeds, APIs)Partner with product, engineering, and domain stakeholders to drive decisions and resolve ambiguitySet modelling standards that others can follow and build againstTHE REQUIREMENTS:Strong experience owning enterprise data models (conceptual, logical, physical)Proven background in financial services data (credit, risk, markets, or reference data)Ability to work in messy environments and reverse-engineer existing data structuresExperience producing canonical models and governance artefactsComfortable operating independently without heavy oversightStrong stakeholder engagement and ability to challenge where neededExposure to Snowflake / modern cloud data platformsExperience working with data products, feeds, or APIsFamiliarity with Data Vault / dimensional modelling approachesExperience in environments with multiple data consumers and distribution channels

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