Lead Data Engineer

Mastercard India Services Pvt Ltd; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mastercard leads a Senior Lead Data Engineer opportunity to design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform. You will work across Databricks, Snowflake, AWS, and Azure to deliver enterprise BI capabilities with strong governance and scalability.

The role emphasizes hands-on engineering, architectural leadership, and mentoring engineers to drive data platform initiatives in a multi-cloud environment.

Qualifications

• 8+ years of software engineering / data engineering / platform engineering.
• Strong hands-on experience with Databricks (AWS / Azure).
• Snowflake experience in cloud data platforms or BI/analytics solutions.
• Experience with AWS services (S3, Glue, EMR, IAM).
• 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.

Responsibilities

• Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS. Build scalable, high-performance data pipelines and analytics frameworks for enterprise data products.
• 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 interoperability across multi-cloud environments.

Skills

Databricks

Snowflake

AWS

Azure

CI/CD

Infrastructure as Code

Distributed systems

Data pipelines

Mentor engineers

Tools

Azure Databricks

AKS

ADLS Gen2

Job description

Title and Summary

Lead Data Engineer (Data Platforms) 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.

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

Preferred Qualifications

• Experience with Azure (Azure Databricks, ADLS Gen2, AKS)


• Knowledge of open data formats (Delta Lake, Apache Iceberg)


• Experience with data governance frameworks and access control models


• Exposure to multi-cloud architecture and cross‑platform interoperability


• Understanding of FinOps, cost optimization, and platform observability

Corporate Security Responsibility

All 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, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Experience Level

Senior Level