Mastercard

1 month ago

Principal Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead cloud-based BI/analytics architecture for large-scale data platforms, driving multi-cloud patterns across AWS, Azure, and Databricks/Snowflake. Architect governed, scalable data solutions with a focus on open formats (Iceberg/Delta), automation, security controls, and end-to-end platform reliability, enabling governed self-service analytics and ML workloads.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Sr. Manager level

Key Responsibilities

•Design and develop cloud BI/analytics architecture on AWS Databricks and Snowflake, enabling governed analytics, ML, and data engineering workloads at scale.
•Drive multi-cloud architecture patterns by extending DCP capabilities into Azure (Azure Databricks and ADLS Gen2) while maintaining an engine-agnostic posture.
•Lead cross-platform interoperability across Databricks, Snowflake, and AWS data services with catalog federation and governed access patterns.
•Participate in architecture reviews, planning, and feature sizing with technical partners to shape platform roadmaps and execution plans.
•Define and deliver service-level procedures and platform solutions (automation, provisioning, repeatability) to improve reliability and onboarding speed.

Key Requirements

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

Experience:Cloud analyticsBIData engineeringDatabricksSnowflakeAWSAzure

Skills:DatabricksSnowflakeAWSAzureDeltaIcebergGovernanceSecurityAutomationCloudBIMLArchitecture

Tech Stack:DatabricksSnowflakeAWSAzureAzure DatabricksADLS Gen2IcebergDeltaDatabricks AI/BI

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 month ago

Principal Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Sr. Manager level

Key Responsibilities

•Design and develop cloud BI/analytics architecture on AWS Databricks and Snowflake, enabling governed analytics, ML, and data engineering workloads at scale.
•Drive multi-cloud architecture patterns by extending DCP capabilities into Azure (Azure Databricks and ADLS Gen2) while maintaining an engine-agnostic posture.
•Lead cross-platform interoperability across Databricks, Snowflake, and AWS data services with catalog federation and governed access patterns.
•Participate in architecture reviews, planning, and feature sizing with technical partners to shape platform roadmaps and execution plans.
•Define and deliver service-level procedures and platform solutions (automation, provisioning, repeatability) to improve reliability and onboarding speed.

Key Requirements

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

Experience:Cloud analyticsBIData engineeringDatabricksSnowflakeAWSAzure

Skills:DatabricksSnowflakeAWSAzureDeltaIcebergGovernanceSecurityAutomationCloudBIMLArchitecture

Tech Stack:DatabricksSnowflakeAWSAzureAzure DatabricksADLS Gen2IcebergDeltaDatabricks AI/BI

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor