
Senior Data Warehouse Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Warehouse Analyst on a long-term contract in Florida, offering competitive pay. Key skills include ETL/ELT with Informatica IDMC, legacy system modernization, and data governance. Requires 7+ years of experience in data warehousing, preferably in government or finance.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
760
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ποΈ - Date discovered
July 18, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Tallahassee Metropolitan Area
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π§ - Skills detailed
#Metadata #Cloud #Data Management #SQL Server #Data Orchestration #Informatica #Data Framework #Snowflake #JCL (Job Control Language) #Oracle #Data Integration #Data Governance #Batch #DevOps #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Warehouse #Scala #Documentation
Role description
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About the Company: We are hiring for a Florida government long term contract project.
About the Role: A Senior Data Warehouse Analyst to drive next-generation cloud data integration initiatives. The position involves modernizing legacy mainframe systems, designing cloud-native pipelines using Informatica Intelligent Data Management Cloud (IDMC), and collaborating across teams to ensure secure, scalable, and high-quality data delivery.
Responsibilities:
β’ Design, develop, and deploy scalable ETL/ELT pipelines using Informatica IDMC
β’ Convert legacy COBOL, JCL, FOCUS/WebFOCUS code into modern cloud workflows
β’ Develop and maintain data warehouse solutions using Snowflake
β’ Optimize batch and real-time data integration across mainframe, DB2, SQL Server, and Oracle platforms
β’ Create detailed documentation, testing scripts, and metadata frameworks
β’ Mentor team members and provide technical guidance on ETL architecture
β’ Collaborate with stakeholders to validate reporting and analytics requirements
Candidate Background:
β’ 7+ years of experience in data warehousing and integration
β’ Hands-on work with government, finance, or large-scale data systems
β’ Deep knowledge of metadata management and data governance
β’ Familiarity with multi-environment data orchestration and DevOps practices