Mastercard

4 weeks ago

Senior Principal, Data Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Senior Principal Data Engineer responsible for designing, building, and optimizing enterprise-scale data platforms across AWS and Azure. Lead architecture of cloud-native lakehouse solutions, implement DevOps and IaC, enforce security and governance, and collaborate with global teams to deliver scalable, secure data capabilities across on‑premises and cloud environments.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and architect end-to-end cloud-native data platform solutions, including lakehouse architectures with AWS and Azure services.
•Lead hands-on development of DevOps capabilities, including CI/CD pipelines, Infrastructure-as-Code, and automated environment provisioning across multi-cloud platforms.
•Define and enforce cloud security architecture standards (IAM, encryption, network security) and regulatory compliance (GDPR, HIPAA).
•Establish data governance frameworks covering cataloging, lineage, classification, and access control using AWS Lake Formation and Azure Purview.
•Architect and deliver scalable ETL/ELT pipelines, data lakes, and data warehouse systems to support analytics and reporting.

Pay and Benefits

Salary: USD 244,000 - 390,000 annually

Perks:Health Insurance401kPaid Leave

Key Requirements

•Hands-on experience designing, building, and operating enterprise-scale cloud and data platforms across AWS and Azure.
•Strong software engineering background with production-grade cloud-native solutions.
•Expertise implementing Infrastructure-as-Code and CI/CD pipelines (Terraform, CloudFormation, Bicep/ARM, Azure DevOps, GitLab CI/CD).
•Experience with Spark, PySpark, distributed data processing, and large-scale data engineering systems.
•Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Experience:FintechPaymentsDigital paymentsCloudData platforms

Education:Bachelor's

Skills:PythonSQLSparkPySparkDatabricksAWSAzureTerraformCI/CDDockerKubernetesECSAKSCloudWatchGrafanaGlueLake FormationData LakeS3Redshift

Tech Stack:PythonSQLSparkPySparkDatabricksAWSAzureTerraformCI/CDDockerKubernetesECSAKSCloudWatchGrafanaGlueLake FormationData LakeS3Redshift

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

4 weeks ago

Senior Principal, Data Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and architect end-to-end cloud-native data platform solutions, including lakehouse architectures with AWS and Azure services.
•Lead hands-on development of DevOps capabilities, including CI/CD pipelines, Infrastructure-as-Code, and automated environment provisioning across multi-cloud platforms.
•Define and enforce cloud security architecture standards (IAM, encryption, network security) and regulatory compliance (GDPR, HIPAA).
•Establish data governance frameworks covering cataloging, lineage, classification, and access control using AWS Lake Formation and Azure Purview.
•Architect and deliver scalable ETL/ELT pipelines, data lakes, and data warehouse systems to support analytics and reporting.

Pay and Benefits

Salary: USD 244,000 - 390,000 annually

Perks:Health Insurance401kPaid Leave

Key Requirements

•Hands-on experience designing, building, and operating enterprise-scale cloud and data platforms across AWS and Azure.
•Strong software engineering background with production-grade cloud-native solutions.
•Expertise implementing Infrastructure-as-Code and CI/CD pipelines (Terraform, CloudFormation, Bicep/ARM, Azure DevOps, GitLab CI/CD).
•Experience with Spark, PySpark, distributed data processing, and large-scale data engineering systems.
•Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Experience:FintechPaymentsDigital paymentsCloudData platforms

Education:Bachelor's

Skills:PythonSQLSparkPySparkDatabricksAWSAzureTerraformCI/CDDockerKubernetesECSAKSCloudWatchGrafanaGlueLake FormationData LakeS3Redshift

Tech Stack:PythonSQLSparkPySparkDatabricksAWSAzureTerraformCI/CDDockerKubernetesECSAKSCloudWatchGrafanaGlueLake FormationData LakeS3Redshift

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