Lead data modernization at Accenture AI & Data with advanced data engineering and pipeline implementation expertise in a hybrid workplace. 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 components Build scheduled and event-driven ingestion pipelines Develop transformations and business rules for curated datasets Implement automated data quality validation across pipelines Register metadata, lineage, and access in catalogues Requirements:

At least eight years implementing data architecture and solutions At least five years delivering cloud or on-premises data solutions Advanced proficiency in data engineering and pipeline implementation Experience with Fabric Data Factory, PySpark, Spark SQL, and Delta Lake Bachelor’s degree or related college program completion Bring 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