Day: September 28, 2025

Company: Mastercard

Location: Toronto, ON

Expected salary:

Job date: Fri, 04 Jul 2025 00:42:25 GMT

Job description: Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummaryDirector Data Engineering, Marketing Technology SolutionsDirector Data Engineering, Marketing Technology SolutionsWho is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.Overview
The Marketing Technology Solutions team at Mastercard is looking for a Senior Data Engineer to design, develop, and maintain data and analytics solutions that support Mastercard’s B2B marketing initiatives. This role is key in building the data environment and integrations that will power advanced omni-channel marketing campaigns. As part of a small, collaborative team, you will work with large-scale data sets to unlock the value of big data across the global marketing team.
The ideal candidate is a hands-on engineer with a strong background in data engineering, a passion for building scalable solutions, and a commitment to driving business impact.Role:

• Build and lead a team based in Toronto, Canada to build Mastercard’s global marketing data platform to enable real time analytics and customer segmentation.
• Drive the evolution of data-driven marketing at Mastercard with a strong emphasis on data engineering and data science, ensuring impactful advancements in data quality, scalability, and efficiency.
• Develop and fine-tune methods and algorithms to generate precise, high-quality data at scale, including the creation and maintenance of feature stores, analytical stores and curated datasets for enhanced data integrity and usability.
• Solve complex data challenges involving multi-layered data sets though the building of data pipelines, libraries, and frameworks.
• Provide support for deployed data applications and analytical models, identifying data issues and guiding resolutions.
• Ensure proper data governance policies are followed by implementing or validating data lineage, quality checks, classification, etc.
• Integrate diverse data sources, including real-time, streaming, batch, and API-based data, to enrich platform insights and drive data-driven decision-making.
• Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
• Collaborate with cross-functional teams to determine priority problems and innovative solutions.
• Develop and enforce best practices for data engineering, including coding standards, code reviews, and documentation.
• Ensure data security and privacy compliance, implementing measures to protect sensitive data.

All About You:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Experience building and leading teams through initial development.
• Inspirational leader with a strong focus on developing and growing talent.
• Extensive hands-on experience in Data Engineering, including implementing multiple end-to-end data warehouse projects in Big Data environments.
• Proven track record in building and deploying production level data driven applications and data processing workflows/pipelines.
• Proficiency in application development frameworks (Python, Java/Scala) and data processing/storage frameworks (Databricks, Spark, Kafka).
• Experience in designing and managing data orchestration workflows using tools such as Apache NiFi, Apache Airflow, or similar platforms to automate and streamline data pipelines using various types of Databricks connectors like Lakeflow and Spark Python Data Source API and Auto loader.
• Experience with performance tuning of database schemas, databases, SQL, ETL jobs, and related scripts, Unity catalog and Delta Live tables
• Experience of working in Agile teams
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale using Java, Scala, or Python. This includes all phases such as data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting analytics.
• Experience in developing integrated cloud applications such as Databricks and AWS.
• Excellent analytical and problem-solving skills, with the ability to analyze complex data issues and develop practical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with and facilitate activities across cross-functional teams, geographically distributed, and stakeholders.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:Abide by Mastercard’s security policies and practices;Ensure the confidentiality and integrity of the information being accessed;Report any suspected information security violation or breach, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Summary of Mastercard’s Purpose and Director Data Engineering Position

Purpose:
Mastercard is a global technology company dedicated to empowering economies and individuals by providing secure, simple, and accessible digital payment solutions. They aim to build a sustainable economy that benefits everyone using their innovative products and partnerships across 200+ countries.

Position Overview:
Mastercard seeks a Senior Data Engineer in the Marketing Technology Solutions team. This role involves designing, developing, and maintaining data and analytics solutions for B2B marketing initiatives, focusing on real-time analytics and customer segmentation.

Key Responsibilities:

• Lead a Toronto-based team to develop Mastercard’s global marketing data platform.
• Enhance data-driven marketing initiatives by improving data quality, scalability, and efficiency.
• Build data pipelines and frameworks to address complex data challenges.
• Ensure data governance and compliance, and integrate various data sources.
• Collaborate with cross-functional teams and enforce best practices in data engineering.

Qualifications:

• Bachelor’s degree in Computer Science or related field.
• Proven leadership in building teams and extensive experience in data engineering.
• Proficient in programming languages (Python, Java/Scala), data processing frameworks (Databricks, Spark), and data orchestration tools (Apache NiFi, Airflow).
• Experienced in performance tuning, cloud applications, and Agile methodologies.
• Strong analytical, problem-solving, and communication skills.

Diversity Commitment:
Mastercard is an equal opportunity employer, promoting a diverse workforce and providing accommodations during the recruitment process as needed.

Corporate Security Responsibility:
Employees must adhere to security policies, protecting information and reporting any security violations while completing mandatory training.

This role is pivotal in leveraging data to drive impactful marketing campaigns and enable Mastercard to realize its mission in the digital economy.