Lead Data Engineer

Mastercard
Pune
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 8+ yearsSkills: ["Databricks","Snowflake","AWS","Azure","CI/CD","Infrastructure as Code","RBAC","ADLS Gen2"]

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.

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FursaFursa
Mastercard
Mastercard
2 months ago

Lead Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 6 months ago

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
Glassdoor: 4.1
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