Data Modeler (Finance & Capital Markets Project)

Job ID: SRJ_7736Posted: 2025-10-14Location: Chicago, ILSalary: USD 70-75 / Hourly (C2C)Employment Type: 1099, C2C, W-2Client: NessContact: Meghana GorusuCompany: SRI Tech SolutionsJob Title: Data Modeler (Finance & Capital Markets Project)Location: Chicago, IL (2-3 days onsite a week)Teck Stack: Data Modeling Tools, Medallion Architecture, Cloud (AWS), Exp with Logical & Physical data models, Domain exposureNote: If you are unable to find the Finance and capital markets domain experience submit strong Medallion Architecture experience resourcesPosition 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.SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.