Lead Data Engineer

Role Overview

We are looking for a Lead Data 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.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate will combine hands-on engineering expertise and have experience building cloud-based data platforms or BI/analytics solutions.

Requirements

• 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