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 (Winnipeg)
🏢 Accenture
📍 Winnipeg