Full Job Description
Title and Summary
Director, Data Engineering
Overview:
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. The Director, Data Engineering for Cyber Analytics will be a key contributor in helping Mastercard develop and deliver actionable insights and products to mitigate cyber vulnerabilities across the Mastercard ecosystem.
Role:
• Design, develop, test, deploy, maintain, and improve data storage, pipelines, and ETL processes.
• Lead the design and build of graph database solutions and data models that support cyber analytics use cases.
• Partner with data scientists to understand existing ML and AI applications, identify optimization opportunities, and craft processes and solutions that streamline data engineering integration.
• Oversee the integration and management of data from various sources and storage systems to produce cohesive datasets for analysis and modeling.
• Partner with software engineering, IT, Info Sec, and infrastructure teams to deploy and validate production artifacts.
• Lead, develop, and grow a team of highly skilled data engineers.
All About You:
• Strong data engineering skills, including building data pipelines and infrastructure for ML and AI applications, with a solid understanding of ML and AI concepts to build solutions together with data scientists.
• Proficiency in graph databases and graph modeling techniques.
• Proficiency in Databricks, Spark, and AWS, with working knowledge of on-prem distributions (Apache, Hadoop, Oracle).
• Skilled in databases and big data tools such as Hive, Impala, OOZIE, Airflow, and NIFI, with working knowledge of Shell scripting and Linux/Unix systems.
• Strong computer science fundamentals in object-oriented design, data structures, algorithm design, and complexity analysis.
• Proven ability to lead and develop a team of data engineers.
• Skilled at delegating, organizing, and motivating a team, and at prioritizing competing requests across multi-person projects.
• Strong stakeholder management, with the ability to build trusted relationships across technical and business partners.
• Strong problem-solving skills, with the ability to break down ambiguous problems, propose solutions, and implement them with cross-functional teams.
• Clear, persuasive communication with both technical and non-technical audiences, in writing and verbally.
• Curiosity and adaptability, with the ability to learn new domains quickly and stay open to alternative ideas.
Preferred Skills:
• A degree in a technical field such as Mathematics, Statistics, Physics, Engineering, Cybersecurity, or Computer Science, or equivalent skills gained through hands-on work.
• Knowledge of the payments, cyber, and/or fraud domains.
• Knowledge of web crawling and scraping.
• Exposure to agentic AI.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.
Pay Ranges
Toronto, Canada: $154,000 - $247,000 CAD
