InterEx Group

Senior Data Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Architect with a contract length of "unknown" and a pay rate of "unknown." It requires 10+ years in data architecture, 5+ years in cloud computing, and expertise in AWS, Azure, and big data platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#Spark (Apache Spark) #SQL Server #Data Architecture #Big Data #Azure cloud #Microsoft SQL Server #Data Modeling #Tableau #MS SQL (Microsoft SQL Server) #Data Migration #Microsoft Power BI #SQL (Structured Query Language) #Cloud #Hadoop #BI (Business Intelligence) #HBase #MySQL #Azure #AWS (Amazon Web Services) #Visualization #Informatica #Microsoft SQL #Migration #Oracle #SSMS (SQL Server Management Studio)
Role description
Job Title: Senior Data Architect Department: Data & Analytics Location: Remote Summary: We are looking for a highly experienced Senior Data Architect to join our team and lead the migration of our data from on-premises Oracle servers to AWS and Azure cloud. The ideal candidate will have a deep understanding of data architecture, data modeling, and data migration. They will also be proficient in cloud computing technologies and have experience with big data platforms. Responsibilities: • Lead the design and implementation of the data migration project • Develop data models and schemas for the cloud environment • Work with stakeholders to gather requirements and ensure the success of the project • Stay up-to-date on the latest data technologies and trends Qualifications: • 10+ years of experience in data architecture • 5+ years of experience in cloud computing • Experience with big data platforms • Strong understanding of data modeling and data migration • Excellent communication and problem-solving skills Tech Stack: • Cloud computing platforms: AWS, Azure, • Big data platforms: Hadoop, Hive, Spark, HBase • Data modeling tools: Oracle SQL Developer, MySQL Workbench, Microsoft SQL Server Management Studio • Data migration tools: Informatica • Data visualization tools: Tableau, , Power BI