Lead data migration and modernization with advanced data engineering and pipeline implementation skills in Accenture’s hybrid setting. Build solutions for critical business needs.
As a Data Migration and Modernization Lead, you will independently deliver against defined architecture as a subject matter expert. You will deploy data services, build ingestion pipelines, and curate datasets for analytical consumption. The work spans cloud, hybrid, and on-premises landscapes, with streaming architecture supporting real-time processing.
Key Responsibilities:
- Lead full lifecycle data architecture and solution delivery
- Design scalable pipelines producing high-quality data structures
- Develop modernization plans, blueprints, and stakeholder recommendations
- Implement business logic for batch and streaming frameworks
- Increase automation for customer analytics use cases
Requirements:
- Eight-plus years implementing data architecture and solutions
- Five-plus years delivering cloud or on-premises data solutions
- Advanced proficiency in data engineering and pipeline implementation
- Experience with Microsoft Fabric, PySpark, Spark SQL, and Delta Lake
- Bachelor’s degree or related college program completion
Apply data engineering, streaming architecture, and modernization expertise to Accenture’s enterprise data transformation work.
📌 Data Migration Modernization Lead (Toronto)
🏢 Accenture
📍 Toronto
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