

Senior Azure Data Engineer/ Architect with OCI (Oracle Cloud Infrastructure )
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Azure Data Engineer/Architect with OCI, remote for 12+ months, offering competitive pay. Requires expertise in OCI, Azure Data Services, ETL/ELT pipeline design, SQL, Python, and cross-cloud integration between OCI and Azure.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
-
ποΈ - Date discovered
July 29, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Pipeline #Strategy #ADLS (Azure Data Lake Storage) #Data Lake #Azure #Python #Storage #Data Modeling #Data Architecture #Data Lineage #Spark (Apache Spark) #Scala #Synapse #Databricks #Oracle #Talend #Metadata #Data Extraction #"ETL (Extract #Transform #Load)" #Azure Data Factory #Data Engineering #Apache NiFi #Cloud #NiFi (Apache NiFi) #Azure ADLS (Azure Data Lake Storage) #Oracle Cloud #Azure Synapse Analytics #Microsoft Azure #ADF (Azure Data Factory) #Data Integration #SQL (Structured Query Language)
Role description
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Job Title: Senior Azure Data Engineer/ Architect with OCI (Oracle Cloud Infrastructure )
Location: Remote 100%
Duration: 12+ Months
Job Description:
As part of a cloud modernization strategy, the client is migrating and integrating enterprise data from existing Oracle Cloud Infrastructure (OCI)-based applications into modern data platforms such as Microsoft Azure and Microsoft Fabric. We are looking for a Senior Data Engineer or Data Architect who can lead this transformation, ensuring seamless data connectivity, quality, and pipeline scalability across environments.
Key Responsibilities:
β’ Design and implement data pipelines and ingestion frameworks to move structured and unstructured data from OCI into Azure and Microsoft Fabric platforms.
β’ Build and manage cloud data lakes on Azure (ADLS Gen2, Microsoft Fabric OneLake) and support real-time/near-real-time data integration use cases.
β’ Define and enforce data architecture standards, modeling practices, and transformation logic as part of the modernization roadmap.
Required Skills:
β’ Hands-on experience with Oracle Cloud Infrastructure (OCI), including data extraction, APIs, and network configuration.
β’ Strong proficiency with Microsoft Azure Data Services including:
β’ Azure Data Lake Storage (Gen2)
β’ Azure Data Factory
β’ Azure Synapse Analytics
β’ Microsoft Fabric (OneLake, Pipelines, Data Activator, etc.)
β’ Experience designing and building ETL/ELT pipelines using tools like Apache NiFi, ADF, Talend, or Python-based solutions.
β’ In-depth knowledge of data modeling, data warehousing, and metadata/data lineage practices.
β’ Experience with cross-cloud integration β moving or federating data between OCI and Azure/Fabric.
β’ Proficiency in SQL, Python, and understanding of Spark-based processing (Databricks, Fabric Spark).