Platform Lead Developer: Commercial Data Integration

Mastercard

O’Fallon (MO)

Presencial

USD 140 000 - 231 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Mastercard is seeking a Commercial Data Integration Platform - Lead Developer to lead a team responsible for the CDIP platform's deployment, operation, and continual enhancement. The role emphasizes collaboration with internal architecture and leadership to ensure aligned requirements, design intent, and compliant solutions.

The ideal candidate will build and optimize a Databricks-based pipeline to ingest data, evaluate it against Mastercard datasets, and enable scalable insights for Mastercard

Qualificações

  • Proven ability to lead and mentor software development teams.
  • Strong communication and problem-solving skills.
  • Experience collaborating with architecture and leadership teams.

Responsabilidades

  • Lead and mentor development teams in CDIP build, deployment, and enhancements.
  • Collaborate with architecture and leadership to ensure clear requirements and design intent.
  • Coordinate with internal and external partners to align with Mastercard policies and compliance.
  • Surface risks and blockers to leadership for timely resolution.
  • Drive engineering best practices, code quality, testing standards, and operational excellence.
  • Support platform reliability and performance, including monitoring and incident response.
  • Contribute to technical strategy with insights on tooling and architecture.

Descrição da oferta de emprego

Mastercard is seeking a Commercial Data Integration Platform - Lead Developer to lead a team responsible for the CDIP platform's deployment, operation, and continual enhancement. The role emphasizes collaboration with internal architecture and leadership to ensure aligned requirements, design intent, and compliant solutions.

The ideal candidate will build and optimize a Databricks-based pipeline to ingest data, evaluate it against Mastercard datasets, and enable scalable insights for Mastercard

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