Lead Data Engineer (Data Platforms)

Mastercard; Helena (MT); Presencial; USD 140 000 - 200 000; Tempo integral

Resumo da oferta

Mastercard is seeking a Lead Data Engineer to design, build, and scale cloud-based data and analytics solutions within the Data Commercialization Platform (DCP). You will lead architecture, develop cloud-native data pipelines, and enable enterprise data products across multi-cloud environments including AWS and Azure.

The ideal candidate brings hands-on engineering expertise, strong governance, and a track record of mentoring engineers while delivering scalable BI and analytics capabilities.

Qualificações

• 8+ years in software/data/platform engineering.
• Hands-on with Databricks (AWS/Azure), Snowflake, and AWS services.
• Experience building cloud-based data platforms and BI/analytics solutions.

Responsabilidades

• Design and develop cloud-native data and BI solutions on Databricks and Snowflake across AWS.
• Enable integration across Databricks, Snowflake, AWS, and Azure, with CI/CD and IaC.

Conhecimentos

Leadership

Cloud data engineering

Data platform design

Mentoring engineers

CI/CD

Ferramentas

Databricks

Snowflake

AWS

Azure

IAM

Descrição da oferta de emprego

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Data Engineer (Data Platforms)Role SummaryWe are looking for a Lead Software Engineer to design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform (DCP).This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure, while ensuring strong governance, scalability, and interoperability across multi-cloud environments.The ideal candidate will combine hands‑on engineering expertise.

Key Responsibilities

• Architecture & Development
  • 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).
• Platform Engineering & Integration
  • 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.
  • Implement secure and governed access patterns including RBAC, service principals, and enterprise identity integration.
  • Support data platform interoperability across multiple compute engines and cloud providers.

Required Qualifications

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

Preferred Qualifications

• Experience with Azure (Azure Databricks, ADLS Gen2, AKS)
• Knowledge of open data formats (Delta Lake, Apache Iceberg)
• Experience with data governance frameworks and access control models
• Exposure to multi-cloud architecture and cross-platform interoperability
• Understanding of FinOps, cost optimization, and platform observability

Corporate Security Responsibility

• All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.