Senior Manager, Data Engineering

McDonald’s Corporation

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Hyderabad, Telangana, India
Posted
1 day ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $178k
$128k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $138,525–$217,750.

Based on 240 similar postings.

Employer

About McDonald’s Corporation

McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.

McDonald’s Corporation currently has 43 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 26 roles with salary data.

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At a glance

TL;DR · Senior Manager, Data Engineering

Sr Manager, Data Engineering will provide engineering delivery and architectural leadership for the Marketer Customer Data Platform (mCDP). This role involves defining and evolving technical architecture for backend systems that ingest, process, and distribute high volumes of customer data in real-time and batch environments to support critical engagement initiatives. The successful candidate will act as a technical authority, translating product vision into scalable, secure, and resilient solutions while mentoring engineers and ensuring operational readiness. Key responsibilities include overseeing cloud-native Java applications, promoting event-driven architectures, and managing integration standards. Required skills include Python, Java, Gradle, Maven, Terraform, NewRelic, OpenTelemetry, Docker, Kubernetes, and CI/CD pipelines. The role requires expertise in GCP, AWS, Confluent, Kafka, mParticle, and Braze to solve complex data processing challenges within a high-volume, low-latency environment for the customer data platform.

What you'll do

  • Define and evolve the end-to-end technical architecture for backend systems that process high volumes of customer data.
  • Translate product vision and roadmap into actionable technical strategies and execution plans.
  • Design scalable, secure, and resilient cloud-native Java applications for real-time and batch data processing.
  • Implement event-driven and streaming architectures using platforms like Kafka to ensure data consistency.
  • Oversee the integration of backend services with marketing technology solutions and third-party platforms.
  • Ensure operational readiness by building observability, reliability, and security into all production systems.
  • Provide technical mentorship and guidance to engineers while leading design reviews and knowledge-sharing sessions.
  • Act as the primary point of escalation for complex technical issues and production incidents.

What we're looking for

  • 10+ years of experience in data and/or software engineering with at least 3 years in technical lead or leadership roles.
  • 8+ years of extensive experience with modern Java versions and enterprise-scale backend application development.
  • Proven experience leading technical design and architecture for distributed, high-volume data systems.
  • Deep expertise in cloud-native architectures (AWS, Azure, or GCP) and containerized applications using Docker and Kubernetes.
  • Hands-on experience with event-driven architectures and streaming platforms such as Kafka or Confluent.
  • Expert knowledge of CI/CD pipelines, infrastructure-as-code, and modern DevOps practices including Maven, Gradle, and Terraform.
  • Experience with observability and monitoring tools like NewRelic, OpenTelemetry, Prometheus, Grafana, and Kibana.
  • Experience in large-scale enterprise environments or integrating marketing technology solutions (preferred).

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