Infobahn Softworld Inc
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect in Fremont, CA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Oracle Fusion, data migration, ETL/ELT pipeline development, and data validation. Industry experience in data architecture is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 13, 2026
🕒 - 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
Fremont, CA
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🧠 - Skills detailed
#Oracle #Data Architecture #Data Quality #Migration #Data Migration #Data Extraction #"ETL (Extract #Transform #Load)"
Role description
Title: Data Architect/Engineer
Location: Fremont, CA
Data Architect & Engineer to lead and execute complex data migration and integration initiatives involving Oracle Fusion.
• The role requires strong hands-on expertise in data architecture, source-system data extraction, transformation, pipeline development, data validation, and integration with Oracle Fusion.
• The ideal candidate will have successfully delivered end-to-end Oracle Fusion data migration projects, with the ability to architect solutions while also working hands-on across data extraction, transformation, pipeline development, integration, reconciliation, and data quality.
• Data extraction from legacy systems
• ETL/ELT pipeline development
• Data transformation and cleansing
• Source-to-target mapping
• Data validation and reconciliation
Title: Data Architect/Engineer
Location: Fremont, CA
Data Architect & Engineer to lead and execute complex data migration and integration initiatives involving Oracle Fusion.
• The role requires strong hands-on expertise in data architecture, source-system data extraction, transformation, pipeline development, data validation, and integration with Oracle Fusion.
• The ideal candidate will have successfully delivered end-to-end Oracle Fusion data migration projects, with the ability to architect solutions while also working hands-on across data extraction, transformation, pipeline development, integration, reconciliation, and data quality.
• Data extraction from legacy systems
• ETL/ELT pipeline development
• Data transformation and cleansing
• Source-to-target mapping
• Data validation and reconciliation
