Lead Data Engineer, AI Platform and Pipelines

Mastercard; Toronto; On-site; CAD 125,000 - 206,000; Full time

Job summary

A global technology company in payments seeks a Principal Data Engineer to lead the development of next‑generation, AI-powered data platforms. This role requires extensive experience in data engineering, leading global teams, and expertise in technologies such as Apache Spark and Kafka. Candidates should possess strong communication skills and an advanced degree in Data Science or a related field. Competitive salary and impactful work within a top-tier team are offered.

Qualifications

• Hands-on experience in data engineering or related technical domain.
• Proven experience leading global data engineering or platform engineering teams.
• Strong experience with data pipeline tools and distributed data processing.

Responsibilities

• Drive modernization from legacy systems to cloud-native data platforms.
• Architect and develop a Multi-Agent ETL Platform for batch and event streaming.
• Ensure robust data governance and monitoring frameworks.

Skills

Data engineering

Data governance

Communication

Data modeling

Leadership

Python

SQL

Education

Advanced degree in Data Science or related field

Tools

Apache Spark

Kafka

NiFi

dbt

Oracle

AWS Glue

Azure Data Factory

BigQuery

Snowflake

Job description

A global technology company in payments seeks a Principal Data Engineer to lead the development of next‑generation, AI-powered data platforms. This role requires extensive experience in data engineering, leading global teams, and expertise in technologies such as Apache Spark and Kafka. Candidates should possess strong communication skills and an advanced degree in Data Science or a related field. Competitive salary and impactful work within a top-tier team are offered.