Lead Data Engineer (Data Platforms)

MasterCard; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mastercard in Pune is seeking 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 BI, data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure.

You will build scalable data pipelines, governance, and interoperability across multi-cloud environments, and drive architecture decisions.

Qualifications

• 8+ years of software/data engineering or platform engineering experience.
• Hands-on with cloud data platforms or BI/analytics solutions.
• Experience leading technical design and mentoring engineers.
• Strong knowledge of distributed systems and scalable architectures.

Responsibilities

• Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
• Build scalable data pipelines and governance across multi-cloud environments (AWS, Azure).
• Enable CI/CD pipelines and IaC for data platform provisioning; ensure secure access patterns.

Skills

Leadership

Distributed systems

Data processing

Tools

Databricks

Snowflake

AWS

Azure

CI/CD

Job description

Our Purpose

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.

Lead Data Engineer (Data Platforms)

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.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.