Description
Mastercard is seeking a Director, Data Engineering to lead the development and delivery of actionable insights and products to mitigate cyber vulnerabilities across the Mastercard ecosystem.
The successful candidate will design, develop, test, deploy, maintain, and improve data storage, pipelines, and ETL processes. They will lead the design and build of graph database solutions and data models that support cyber analytics use cases. The Director, Data Engineering will partner with data scientists to understand existing ML and AI applications, identify optimization opportunities, and craft processes and solutions that streamline data engineering integration.
Key responsibilities include:
- Designing, developing, testing, deploying, maintaining, and improving data storage, pipelines, and ETL processes
- Leading the design and build of graph database solutions and data models that support cyber analytics use cases
- Partnering with data scientists to understand existing ML and AI applications and identify optimization opportunities
- Overseeing the integration and management of data from various sources and storage systems
- Partnering with software engineering, IT, Info Sec, and infrastructure teams to deploy and validate production artifacts
- Leading, developing, and growing a team of highly skilled data engineers
The ideal candidate will have strong data engineering skills, including building data pipelines and infrastructure for ML and AI applications, with a solid understanding of ML and AI concepts. They will be proficient in graph databases and graph modeling techniques, Databricks, Spark, and AWS, and have working knowledge of on-prem distributions.
In terms of compensation, the successful candidate will be offered a competitive pay based on location, experience, and other qualifications for the role, ranging from $154,000 to $247,000 CAD.