Data Migration Modernization Lead

About the role

Accenture AI & Data is hiring a Data Migration/Modernization Lead (Senior level, full time, hybrid) to set up the data services and streaming components of a platform. The lead proves that data can be ingested, processed and consumed to meet business needs, working with Platform/DevOps consultants and the Lead Enterprise Architect.

Key responsibilities

• Deploy and configure data services and streaming components, and build scheduled and event-driven ingestion pipelines, including change data capture where required.
• Develop transformation logic and business rules to turn raw data into curated datasets, and implement data quality rules and automated validation.
• Register metadata, lineage and access in the catalogue so analysts and data scientists can use the data.
• Lead technology solution, architecture and delivery of large, complex full-lifecycle data applications across cloud, hybrid and on-premise environments.
• Design data pipelines, blueprint data transformation projects and migration plans, and present recommendations to clients and stakeholders.
• Drive business activities such as proposal responses and recruitment.

Required profile

• Minimum 8+ years of experience implementing data architecture and solutions.
• Preferred: 5+ years delivering data and analytics solutions on Azure, AWS, Google Cloud or on-premise, and experience as a data consultant building scalable data platforms.
• Bachelor's degree or college program in computer science or a related field.
• Canadian Secret Clearance eligibility required.
• English fluency, as the role interacts regularly with stakeholders across Canada, the US and other countries.

Required skills

• Advanced proficiency in data engineering and pipeline implementation; advanced streaming data architecture recommended.
• Preferred: Microsoft Fabric, Data Factory, PySpark, Spark SQL, Delta Lake, Spark Structured Streaming, Kafka, Azure Event Hub, Purview, Azure DevOps, Git, CI/CD, Azure Functions.
• Bonus points: production implementation experience, real-time analytics, batch and stream processing, machine learning with Spark, and experience with Oracle, Informatica or open-source tools.

Salary range for British Columbia, Ontario and New Brunswick: $108,800 to $220,400 per year. Locations include Toronto, Montreal and Ottawa.