Director Engineering

Job Description: Director, Data Engineering

Who 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 Mastercard Services Technology team is looking for Director of Data Engineering, to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how we manage big data assets, store those assets, accessibility of data and, enforce standards and principles in the Big Data space both on public cloud and on-premise set up. This is a high-impact role where the person will be responsible for driving the design and implementation of modern, scalable, and secure data platforms across AWS and Azure. The scope of the role includes establishing platform strategy, enforcing governance, defining and propagating best practices across Data Platforms. The role will also involve collaborating with cross-geography teams of data engineers and platform engineers. Were not just looking for an architectwe want a builder, mentor, and leader who thrives in fast-paced environments and takes pride in delivering real, measurable value. If you enjoy rolling up your sleeves while shaping long-term strategy, this role is for you.

Role

• Design and architect end-to-end cloud-native solutions with a focus on modern data platforms, including Lakehouse architectures leveraging S3, Azure Data Lake, Databricks, and related tools.

• Provide technology leadership and people leadership to a team of global engineers.

• Lead by doing – drive DevOps initiatives including CI/CD pipeline creation, infrastructure-as-code implementation, and automated environment provisioning across multi-cloud environments.

• Set and enforce cloud security best practices, including IAM, encryption, network security, and regulatory compliance (e.g., GDPR, HIPAA).

• Establish and enforce enterprise-grade data governance frameworks, including data cataloging, lineage, classification, and access control, leveraging tools like Lake Formation or Azure Purview.

• Design and lead implementation of robust data engineering pipelines, including ETL/ELT, data lakes, and data warehouses.