Job DescriptionOverview
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nThe 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.
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nWe are looking for a hands-on, passionate engineer and architect with strong PySpark, Python, cloud and modern 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.
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NRole
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nDesign 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.
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nArchitect large-scale distributed data and lakehouse platforms spanning regions, public clouds, on-premises, and private or sovereign execution environments.
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nDefine control-plane and data-plane responsibilities and explicit boundaries among global governance, local enforcement, metadata and orchestration, and local workload execution.
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nDesign 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.
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nDesign federated metadata, catalog, identity, access, query, and data-sharing patterns;
evaluate federation, replication, and compute-to-data using latency, cost, regulation, resid

📌 Hiring: Principal Data Engineer (Pune)
🏢 Mastercard
📍 Pune