Smart IT Frame LLC

Data Modeler / Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler / Data Architect in Minneapolis, MN, with a contract length of "unknown." It offers a pay rate of "unknown." Candidates need 15+ years of experience, expertise in data modeling, advanced SQL, and experience in banking/financial services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Minneapolis, MN
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🧠 - Skills detailed
#Snowflake #Data Modeling #BigQuery #Data Lineage #Documentation #Spark (Apache Spark) #Data Management #Data Architecture #"ETL (Extract #Transform #Load)" #Data Engineering #Data Quality #AWS (Amazon Web Services) #Azure #Databricks #SQL (Structured Query Language) #Informatica #Cloud #DataStage #MDM (Master Data Management) #Normalization #Data Governance #Metadata #Redshift #ERWin #Synapse
Role description
Role: Data Modeler / Data Architect Location: Minneapolis, MN Required Skills & Experience 15+ years of experience as a Data Modeler / Data Architect. Expert-level skills in: Logical, physical, and dimensional data modeling Entity relationship modeling (ERD) Star/Snowflake schemas Normalization/denormalization techniques Strong hands-on experience with tools such as: Erwin, ER/Studio, PowerDesigner, or equivalent Advanced SQL proficiency with ability to analyze, optimize, and validate data structures. Strong understanding of: Data warehousing concepts OLTP vs OLAP systems Master Data Management (MDM) Metadata management Experience with modern cloud data platforms (one or more): AWS Redshift, Snowflake, Azure Synapse, Google BigQuery, Databricks Experience collaborating with ETL/Data Engineering teams (Informatica, Spark, Glue, DataStage, etc.). Proven experience working in banking/financial services, especially with regulatory and risk data systems. Strong understanding of data governance, data quality frameworks, and data lineage. Excellent communication, stakeholder engagement, and documentation skills.