Lead data modernization at Accenture AI & Data with advanced data engineering and pipeline implementation expertise in a hybrid setting. Build streaming capabilities for critical business needs.As a Data Migration and Modernization Lead, you will stand up data services and streaming components across cloud, hybrid, and on-premises landscapes. You will design scalable pipelines, transformation logic, and curated datasets for analytical consumption. The work requires independent subject matter expertise within a defined architecture.Key Responsibilities:
Deploy and configure database, streaming,



and processing componentsBuild scheduled and event-driven ingestion pipelinesDevelop transformations and business rules for curated datasetsImplement automated data quality validation across pipelinesRegister metadata, lineage, and access in cataloguesRequirements:
At least eight years implementing data architecture and solutionsAt least five years delivering cloud or on-premises data solutionsAdvanced proficiency in data engineering and pipeline implementationExperience with Fabric Data Factory, PySpark, Spark SQL, and Delta LakeBachelor’s degree or related college program completionBring data engineering, streaming architecture, and pipeline delivery expertise to Accenture’s hybrid modernization initiatives.
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📌 Data Engineering Modernization Lead (Winnipeg)
🏢 Accenture
📍 Winnipeg