Lead Data Engineer

Our Purpose

Mastercard 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 Summary

Lead Data Engineer

Role Summary We are looking for a Lead Software Engineer to design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform (DCP). This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure, while ensuring strong governance, scalability, and interoperability across multi-cloud environments. The ideal candidate will combine hands-on engineering expertise.

Key Responsibilities

Architecture & Development

Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS. Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products. Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2).

Platform Engineering & Integration Enable seamless integration across Databricks, Snowflake, AWS services, and Azure services. Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning. Implement secure and governed access patterns including RBAC, service principals, and enterprise identity integration. Support data platform interoperability across multiple compute engines and cloud providers.

Required Qualifications

8+ years of experience in software engineering / data engineering / platform engineering

Strong hands-on experience with:

Databricks (AWS / Azure) Snowflake AWS services (S3, Glue, EMR, IAM, etc.)

Experience building cloud-based data platforms or BI/analytics solutions Strong knowledge of distributed systems, data processing, and scalable architectures Experience with CI/CD, Infrastructure as Code, and automation Proven ability to lead technical design and mentor engineers