Principal Data Engineer (Mumbai)

Principal Data Engineer (Mumbai)

01 Oct
|
Mastercard
|
Mumbai

01 Oct

Mastercard

Mumbai

Overview

The Mastercard Services Technology team is looking for a Principal Data Engineer to unlock the potential of our data assets by innovating continuously, removing friction from how large-scale data is stored, managed, governed, and accessed, and establishing standards across public-cloud and on-premises environments.

We are looking for a hands-on, passionate engineer and architect with strong PySpark, Python, cloud and contemporary data-architecture expertise. This role will design scalable distributed and lakehouse platforms across regions and execution environments; establish federated governance, metadata, access, and query patterns; build reliable data solutions; shape engineering culture; and mentor others. It is a role for builders and collaborators who value clean pipelines, cloud-native design, sound architecture decisions, and helping teammates succeed.

Role

Design and build scalable, secure, cloud-native and hybrid data platforms and control-plane services using Java and/or Python, PySpark, REST and gRPC APIs, and modern data and software engineering practices,



supporting business-critical batch, streaming, API, and secure data-sharing use cases.

Architect large-scale distributed data and lakehouse platforms spanning regions, public clouds, on-premises, and private or sovereign execution environments.

Define control-plane and data-plane responsibilities and clear boundaries among global governance, local enforcement, metadata and orchestration, and local workload execution.

Design control-plane services and interfaces for platform configuration, metadata, policy, identity and access, provisioning, orchestration, lifecycle management, and observability using secure API-first and event-driven patterns.

Design federated metadata, catalog, identity, access, query, and data-sharing patterns; evaluate federation, replication, and compute-to-data using latency, cost, regulation, residency, freshness, reliability, and operational complexity.

Define data-

📌 Principal Data Engineer (Mumbai)
🏢 Mastercard
📍 Mumbai

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