Lead Data Engineer

Mastercard is hiring a Lead Data Engineer in Navi Mumbai.

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

Responsibilities

Technical Leadership & Architecture

Provide technical leadership for Data Engineering, Data Warehouse, and Database initiatives. Define and drive architecture standards, engineering best practices, and platform governance. Design scalable, secure, and high-performance data solutions across cloud and on-premise environments. Lead technical design reviews, solution assessments, and modernization initiatives. Mentor engineers and foster a culture of engineering excellence and continuous improvement.

Data Engineering & Data Warehouse

Design, develop, and oversee enterprise ETL/ELT and CDC pipelines. Manage data integration across relational, NoSQL, SaaS, and cloud-based platforms. Design and optimize data warehouse, lakehouse, and analytical solutions using technologies such as Snowflake, Databricks, Apache Iceberg, and Amazon S3. Ensure data quality, reliability, observability, and operational readiness of all data products. Drive adoption of reusable frameworks, automation, and standardized engineering practices.

Database & Platform Management

Provide oversight of enterprise database environments including PostgreSQL, MySQL, Aurora PostgreSQL, Aurora MySQL, MongoDB Atlas, and DynamoDB. Ensure database availability, performance, security, backup, recovery, and capacity planning. Collaborate with DBA, SRE, and Cloud teams on performance tuning, incident resolution, disaster recovery, and operational improvements.

Requirements

Core Requirements: 8+ years of experience in Data Engineering, Database Engineering, Data Warehousing, or related disciplines. Strong experience with Python, SQL, PySpark, ETL/ELT, and CDC-based architectures. Expertise in relational databases including PostgreSQL, MySQL, Aurora PostgreSQL, and Aurora MySQL. Strong understanding of database administration concepts including performance tuning, indexing, partitioning, backup/recovery, replication, and capacity planning. Experience designing and managing enterprise data warehouses, data lakes, and lakehouse platforms. Experience with cloud-based data services and modern analytics platforms. Cloud & Data Platforms: Strong expertise in AWS services including AWS Glue, S3, DMS, DynamoDB, IAM, VPC, and CloudWatch. Hands-on experience with Snowflake, Databricks, Apache Iceberg, or equivalent modern data platforms. Understanding of cloud security, governance, and cost optimization practices. Leadership & Operations: Proven experience leading technical teams and complex cross-functional projects. Strong stakeholder management and communication skills. Experience managing incidents, RCAs, service reliability, and production support activities. Experience with Agile delivery methodologies, CI/CD, GitLab, and Infrastructure as Code (Terraform).

About Mastercard

We are seeking an experienced Lead Data Engineer to lead the design, delivery, modernization, and operational management of enterprise data platforms, databases, data warehouses, and data engineering solutions. The role is responsible for providing technical leadership across Data Engineering, Database Administration, Cloud Data Platforms, and Data Warehouse operations while ensuring the reliability, scalability, security, and cost efficiency of the organization's data ecosystem. The ideal candi