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.

📌 Data Engineering Modernization Lead (Canada)
🏢 Accenture
📍 Canada