US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 19th Sep 2024
• Design and implement scalable, high-performance data architectures within the Azure ecosystem, including Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Cosmos DB.
• Define data strategies, data flows, and the architecture of data pipelines for both structured and unstructured data.
• Architect efficient and secure data storage solutions for data lakes, data warehouses, and operational data stores, ensuring alignment with business requirements.
• Create data models, including conceptual, logical, and physical models, to support both transactional and analytical systems
• Develop and manage end-to-end cloud data architectures using Azure Data Factory, Azure Databricks, Azure Functions, and other services to enable ETL/ELT processes.
• Ensure the architecture supports real-time and batch processing for large datasets.
• Develop and enforce data governance policies, including data quality, lineage, and metadata management using tools like Azure Purview.
• Implement data encryption, masking, and anonymization techniques to protect sensitive data within the architecture.
• Design and manage complex data pipelines and workflows for ingestion, transformation, and loading using Azure Data Factory, Apache Spark, and Databricks.
• Collaborate with data engineers to optimize pipelines for performance, reliability, and scalability.
• Monitor and troubleshoot performance issues in Azure Synapse, Azure SQL Database, and Data Lake Storage to ensure fast data retrieval and processing.
• Collaborate with cross-functional teams, including data engineers, data scientists, software developers, and business stakeholders, to understand their data needs and provide architecture solution
• Develop detailed architecture documentation, including diagrams, data flows, and technical specifications, to ensure the team and stakeholders understand the data architecture.