Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with 11+ years of experience, focusing on scalable data architectures for an insurance client. Contract length and pay rate are unspecified. Remote work in Madison, WI, with required travel for in-person meetings. Key skills include Snowflake, SQL, and data governance.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 13, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Wisconsin, United States
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🧠 - Skills detailed
#Cloud #GDPR (General Data Protection Regulation) #Azure #Data Governance #Oracle #Metadata #SQL (Structured Query Language) #Databricks #Data Modeling #Scala #Snowflake #Azure Data Factory #Microsoft Power BI #BigQuery #dbt (data build tool) #Tableau #Looker #Talend #Visualization #Spark (Apache Spark) #Python #Programming #SQL Server #Data Warehouse #Data Architecture #Informatica #Compliance #Data Integration #Security #Apache Spark #Data Management #Normalization #Kafka (Apache Kafka) #BI (Business Intelligence) #Data Security #"ETL (Extract #Transform #Load)" #Redshift #ADF (Azure Data Factory) #ML (Machine Learning) #AI (Artificial Intelligence) #Databases
Role description
Position: Data Architect Location: Madison, WI (Remote) Exp- 11 +Years Client: Insurance client Note: Candidate should be based out in nearby location and should be willing to travel for meetings etc – atleast 2 in-person meetings per month Job Description β€’ Design and implement scalable data architectures, integrating data warehouses, lakes, and cloud platforms. β€’ Define data models, schemas, and standards to support analytics, AI/ML, and business intelligence needs. β€’ Partner with business and technology teams to translate requirements into robust data solutions. β€’ Ensure data security, governance, and compliance are embedded in architectural designs. β€’ Evaluate emerging technologies and recommend improvements to optimize performance, cost, and scalability. Key Skills (couple of them in each section): β€’ Databases & Warehousing: Snowflake, Databricks, Redshift, BigQuery, SQL Server, Oracle β€’ Data Modeling & Design: ER modeling, dimensional modeling, normalization, metadata management β€’ Data Integration & ETL/ELT: Informatica, Talend, dbt, Azure Data Factory, Apache Spark, Kafka β€’ Programming & Querying: SQL, Python, Scala β€’ Governance & Security: Data governance frameworks, lineage, access control, compliance (GDPR, HIPAA, etc.) β€’ Visualization & BI (desirable): Power BI, Tableau, Looker