Mastercard

1 month ago

Lead Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead data engineer role focusing on designing, building, and scaling cloud-based data and analytics solutions across multi-cloud environments using Databricks, Snowflake, AWS and Azure to deliver enterprise BI/data platforms with strong governance, scalability, and interoperability. Lead and mentor engineers while delivering robust data pipelines and platform capabilities.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS
•Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products
•Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2)
•Enable seamless integration across Databricks, Snowflake, AWS services, and Azure services
•Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning

Key Requirements

•8+ years of experience in software engineering / data engineering / platform engineering
•Hands-on experience with Databricks (AWS / Azure), Snowflake, and AWS services (S3, Glue, EMR, IAM, etc.)
•Experience building cloud-based data platforms or BI/analytics solutions; strong knowledge of distributed systems and scalable architectures
•Experience with CI/CD, Infrastructure as Code, and automation; ability to lead technical design and mentor engineers
•Proven ability to design, build, and scale cloud-native data and BI solutions and enable multi-cloud interoperability

Experience:8+ yearsPaymentsFintech

Skills:DatabricksSnowflakeAWSAzureCI/CDInfrastructure as CodeRBACADLS Gen2

Tech Stack:DatabricksSnowflakeAWSAzureS3GlueEMRIAMADLS Gen2Delta LakeApache Iceberg

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

Lead Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Manager level

Key Responsibilities

•Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS
•Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products
•Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2)
•Enable seamless integration across Databricks, Snowflake, AWS services, and Azure services
•Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning

Key Requirements

•8+ years of experience in software engineering / data engineering / platform engineering
•Hands-on experience with Databricks (AWS / Azure), Snowflake, and AWS services (S3, Glue, EMR, IAM, etc.)
•Experience building cloud-based data platforms or BI/analytics solutions; strong knowledge of distributed systems and scalable architectures
•Experience with CI/CD, Infrastructure as Code, and automation; ability to lead technical design and mentor engineers
•Proven ability to design, build, and scale cloud-native data and BI solutions and enable multi-cloud interoperability

Experience:8+ yearsPaymentsFintech

Skills:DatabricksSnowflakeAWSAzureCI/CDInfrastructure as CodeRBACADLS Gen2

Tech Stack:DatabricksSnowflakeAWSAzureS3GlueEMRIAMADLS Gen2Delta LakeApache Iceberg

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