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Company

Original Job Post

Wipro · 2 days ago

Data Analytics Architect

Seattle, WA

Contract

Onsite

Senior Level

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Responsibilities

Lead a team of Azure data engineers in designing, building, and maintaining scalable and efficient data pipelines on Azure cloud platform, utilizing services like Azure Synapse, Azure Data Factory, Azure Fabric, Azure SQL Database, and others.

Design data solutions, including data lakes, data warehouses, and real-time data processing systems, leveraging Azure services like Azure Data Lake Storage, Azure Synapse Analytics.

Integrate diverse data sources into Azure-based solutions. Ensure smooth and efficient ETL processes, real-time data ingestion, and data transformation. Implement data integration best practices.

Design and implement data models and schemas to support business requirements. Ensure data accuracy, consistency, and reliability. Optimize data structures for performance and scalability.

Good experience on Azure Purview integrating data pipelines with Purview for Data lineage, experience with Microsoft Fabric, migrating the application from Azure Data Factory and Azure Synapse to Microsoft Fabric.

Implement robust data security measures, including encryption, access control, and data masking. Ensure compliance with data privacy regulations and company policies.

Monitor and optimize data pipelines and queries for performance and efficiency. Implement caching, partitioning, and indexing strategies. Troubleshoot and resolve performance issues.

Establish and enforce data quality standards. Implement data governance practices, metadata management, and data lineage tracking. Ensure data quality through validation and cleansing processes.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Microsoft AzureData SolutionsData PipelinesETL ProcessesAzure SynapseAzure Data FactoryAzure DatabricksData SecurityCompliancePerformance OptimizationStakeholder CollaborationTechnical DocumentationContinuous ImprovementApplication DevelopmentTechnical LeadershipData EngineeringData GovernanceData Integration StrategiesAzure Blob StorageAzure SQL DatabaseData LakesData WarehousesReal-Time Data ProcessingData Lake StorageData IntegrationData ModelsData SchemasBusiness RequirementsData AccuracyData Consistency

Required

Experience in developing and managing advanced data solutions on the Microsoft Azure platform

Experience in creating scalable data pipelines, designing data architectures, and ensuring efficient ETL processes using services like Azure Synapse, Azure Data Factory, and Azure Databricks

Ability to ensure data security, compliance, and optimize performance while collaborating with stakeholders to meet data requirements

Experience in maintaining technical documentation and implementing continuous improvement practices in application development and operations

Experience in providing technical leadership and guidance in implementing best practices for data engineering, performance optimization, and data governance

Experience in designing and implementing data integration strategies leveraging Azure services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database

Experience in leading a team of Azure data engineers in designing, building, and maintaining scalable and efficient data pipelines on Azure cloud platform, utilizing services like Azure Synapse, Azure Data Factory, Azure Fabric, Azure SQL Database, and others

Experience in designing data solutions, including data lakes, data warehouses, and real-time data processing systems, leveraging Azure services like Azure Data Lake Storage, Azure Synapse Analytics

Experience in integrating diverse data sources into Azure-based solutions, ensuring smooth and efficient ETL processes, real-time data ingestion, and data transformation, and implementing data integration best practices

Experience in designing and implementing data models and schemas to support business requirements, ensuring data accuracy, consistency, and reliability, and optimizing data structures for performance and scalability

Experience with Azure Purview integrating data pipelines with Purview for Data lineage, experience with Microsoft Fabric, migrating the application from Azure Data Factory and Azure Synapse to Microsoft Fabric

Experience in implementing robust data security measures, including encryption, access control, and data masking, ensuring compliance with data privacy regulations and company policies

Experience in monitoring and optimizing data pipelines and queries for performance and efficiency, implementing caching, partitioning, and indexing strategies, and troubleshooting and resolving performance issues

Experience in establishing and enforcing data quality standards, implementing data governance practices, metadata management, and data lineage tracking, and ensuring data quality through validation and cleansing processes

Company

Wipro

Glassdoor

3.7

Wipro is a technology services and consulting company focused on building solutions that address clients’ digital transformation needs.

Founded in 1945

Bengaluru, Karnataka, IND

10,001+ employees

http://www.wipro.com

H1B Sponsorship

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2020 (2299)