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Salary
$125k – $277k per year (Estimated)
Location
In office (Ramat Gan)
Seniority
Staff · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Mastercard is an American payments technology company whose origins date to 1966, when a group of banks formed the Interbank Card Association to compete with BankAmericard. Like its main rival it does not issue cards or extend credit; it operates the network that authorises, clears and settles transactions between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in Purchase, New York, the company has built a large services business alongside the core network, covering fraud and identity products through its Ethoca and RiskRecon acquisitions, open banking, consulting and loyalty programmes.

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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

Manager, Software EngineeringTeam Lead - Data Infrastructure

Position Overview

We are seeking an experienced and highly motivated Team Lead to lead our Data Infrastructure team. This role is responsible for managing a team of engineers while driving the design, scalability, reliability, and operational excellence of the company’s core data platform.

The ideal candidate combines strong technical expertise in distributed systems and data technologies with proven leadership capabilities, strategic thinking, and the ability to lead complex initiatives end-to-end - from initial design and planning through implementation, deployment, and production ownership.

Key Responsibilities

  • Lead, mentor, and develop a team of Data Infrastructure engineers, fostering a culture of ownership, collaboration, and continuous improvement
  • Define and execute the technical roadmap for the organization’s data infrastructure platform
  • Oversee the architecture, scalability, reliability, and performance of large-scale data systems and pipelines

* Define and drive data quality standards, monitoring, and validation processes to ensure trust and reliability across the data platform

Partner with engineering and product teams to enable scalable data foundations for analytics, machine learning, and AI-driven initiatives

  • Lead cross-functional technical initiatives end-to-end, including requirements gathering, architecture design, implementation, deployment, and post-production ownership
  • Partner closely with cross-functional teams including Data Engineering, Analytics, Backend Engineering, DevOps, and Product Management
  • Drive operational excellence through monitoring, observability, automation, and incident management best practices
  • Ensure high availability and stability of critical production systems
  • Lead technical design discussions, architecture reviews, and engineering planning processes
  • Establish and promote engineering standards, development best practices, and quality assurance processes
  • Manage project prioritization, resource allocation, and timely delivery of strategic initiatives
  • Support recruitment, onboarding, performance management, and career development of team members
  • Evaluate emerging technologies and recommend improvements to the data platform ecosystem

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 7+ years of experience in software engineering, data engineering, or infrastructure engineering
  • 2+ years of experience managing or leading engineering teams
  • Strong experience with distributed systems and large-scale data platforms
  • Hands-on experience with modern data technologies and frameworks such as Kafka, Spark, Flink, Airflow, DBT, Snowflake, Cassandra/ScyllaDB, or similar technologies
  • Strong programming skills in Java, Scala, or Python
  • Experience working in cloud-based environments such as AWS, GCP, or Azure
  • Strong understanding of system reliability, performance optimization, and operational best practices
  • Excellent communication, stakeholder management, and collaboration skills
  • Proven ability to lead complex technical projects in a fast-paced environment

Preferred Qualifications

  • Experience with real-time streaming and event-driven architectures
  • Experience managing high-scale production environments
  • Familiarity with Kubernetes and containerized infrastructure
  • Experience leading platform modernization or migration initiatives

• Knowledge of CI/CD pipelines and infrastructure automation tools

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.

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