Data Modeler

  • Chicago, IL
  • Posted 11 hours ago | Updated 11 hours ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Data Modeling
Data Integrity
Data Storage
Data Structure
Databricks
ER/Studio
ERwin
Meta-data Management
Master Data Management
Finance
Semantics
Snow Flake Schema
Scalability
PowerDesigner
Modeling

Job Details

(Only Local Candidates)

Position: Data Modeler

Location: Chicago IL (Hybrid)

Duration: 03+ Months


Data Modeler ()

  • Focus on designing logical and semantic data models.
  • Ideal candidate: 10+ years total experience, with 5+ years independently modeling domain objects.
  • Prefer candidates with Finance/Capital Markets background though can be waived for strong technical modelers.
  • Must understand business semantics and collaborate with domain SMEs.

Teck Stack: Data Modeling Tools, Medallion Architecture, Cloud (AWS), Exp with Logical & Physical data models

Position Overview:

We are looking for a Data Modeler with strong expertise in designing, optimizing, and maintaining conceptual, logical, and physical data models for financial data. The candidate will work closely with data architects, engineers, and business stakeholders to ensure data integrity, performance, and alignment with domain-specific needs in Capital Markets.

Key Responsibilities:

  • Design and maintain conceptual, logical, and physical data models supporting trading, risk, and compliance functions.
  • Work with Medallion Architecture (Bronze/Silver/Gold layers) to align data models with cloud lakehouse design.
  • Collaborate with Data Architects and Engineers to translate models into efficient schemas for AWS, Spark, Parquet, Iceberg.
  • Model time-series, reference data, market data, and transactional flows specific to Finance & Capital Markets.
  • Define data standards, naming conventions, and metadata management practices.
  • Optimize data models for performance, scalability, and regulatory reporting needs.
  • Partner with business stakeholders to capture requirements and ensure semantic consistency across domains.

Required Skills & Experience:

  • Hands-on experience in data modeling tools (Erwin, ER/Studio, PowerDesigner, or similar).
  • Strong knowledge of relational, dimensional, and lakehouse modeling techniques.
  • Experience with Parquet, Iceberg, and cloud-native data storage formats.
  • Strong understanding of Finance & Capital Markets data structures (trades, positions, risk, reference/master data).
  • 5 8 years of relevant data modeling experience.

Preferred:

  • Exposure to AWS data services, Databricks, Snowflake, DBT.
  • Knowledge of data governance, data lineage, and regulatory compliance.
  • Familiarity with Agile delivery model and working with Scrum teams.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

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