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Mastercard1 week ago

Principal Data Engineer

On-site · Pune, Maharashtra, India

Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Enterprise

Job Summary

Lead design and development of cloud BI/analytics architectures on AWS using Databricks and Snowflake, with multi-cloud extension into Azure. Drive platform-scale, governed analytics and data engineering workloads, ensuring interoperability across Databricks, Snowflake, and AWS data services while maintaining security controls. Participate in architecture reviews, planning, and feature sizing with technical partners to shape roadmaps. Define and deliver service-level procedures, automate provisioning and delivery, and enhance reliability and speed-to-onboard. Build roadmaps for platform services, emphasize open formats (Iceberg/Delta), and enable secure access patterns. Own requirements management and project planning for platform initiatives, including delivery coordination and operational readiness. Enable BI enablement on Databricks (Databricks AI/BI) and govern self-service analytics. Core tech exposure includes Databricks (AWS + Azure Databricks), Snowflake, AWS platform services, and Azure multi-cloud extensions (ADB + ADLS Gen2). Preferred familiarity with open table formats and platform automation (workspace provisioning, access automation, CI/CD). Corporate security responsibilities and governance practices apply to all activities.

Required Qualifications

  • Proven experience designing cloud analytics / BI architectures for large-scale data platforms
  • Hands-on expertise across Databricks + Snowflake + AWS, with demonstrated ability to integrate governed services across platforms
  • Working knowledge of Azure architectures and patterns for extending analytics platforms (including Azure Databricks and ADLS Gen2)
  • Strong architecture and engineering leadership: ability to drive standards, automation, and repeatable delivery
  • Experience operating in enterprise governance/security constraints, implementing access control and automation identities (service principals)
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Mastercard

Principal Data Engineer

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