Sr Manager, Data Engineering [T500-29893]

McDonald's Global Office in India; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

McDonald’s Corporation in Hyderabad seeks a hands-on Senior Data Engineer for the mCDP team. You’ll own real-time data pipelines, implement mParticle CDP integrations, and build scalable data flows on GCP, including BigQuery and Dataflow. Mentorship of junior engineers is part of the role.

Ideal candidate has 8+ years in data engineering, strong Python/SQL skills, and experience with Terraform and CI/CD. The position emphasizes reliability, security, and high-performance data platforms in a

Qualifications

• 8+ years of professional data engineering experience with hands-on development.
• Strong CDP experience, with deep mParticle expertise preferred.
• Proven mastery of real-time data integrations, event streams, and audience segmentation rules.
• Deep GCP proficiency, including BigQuery, Pub/Sub, Dataflow, and Cloud Run/Functions.
• Proficient in Python and SQL for data manipulation and pipelines.
• Experience with Terraform and CI/CD pipelines.
• Doer mindset; able to mentor while delivering hands-on work.
• Excellent communication to relate complex concepts clearly.

Responsibilities

• Own design and implementation of scalable data integrations for the mParticle CDP.
• Develop real-time data streams, webhooks, and connectors for low-latency data flow.
• Build and validate audience segments and user attributes within the CDP.
• Maintain data quality, implement data plans, and ensure schema hygiene.
• Architect and maintain batch and streaming pipelines on GCP; manage cloud infra.
• Use Terraform to automate cloud resource provisioning and monitoring.
• Provide engineering guidance and mentor junior engineers.
• Serve as escalation point for complex CDP data infrastructure issues.

Skills

CDP ops

mParticle

GCP

Python

SQL

Data pipelines

Terraform

CI/CD

Webhooks

Real-time data

Tools

BigQuery

Pub/Sub

Dataflow

Cloud Run/Functions

Job description

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Experience Range:

11 - 15 years

Position Summary:

We are seeking a strong, hands-on Sr. Data Engineer on our Marketer Customer Data Platform (mCDP) team. This role is for a doer-of-an-engineer who will be pivotal in enhancing the team's development capacity. The ideal candidate is an expert in CDP operations and development, particularly with mParticle, and possesses extensive experience with the Google Cloud Platform (GCP) ecosystem. You will be responsible for building and maintaining rules, data plans, and to an extent, supporting infrastructure that power our real-time customer data initiatives. While this role may include mentoring or directly managing 1-2 other engineers, it is fundamentally a hands-on technical position.

Primary Responsibilities:

CDP Development & Integration Operations:

• Own the design and implementation of new, scalable integration patterns for ingesting data into and disseminating data out of our mParticle CDP.
• Develop and manage real-time data streams, configure webhooks, and build custom connectors to ensure low-latency data flow between systems.
• Become the subject matter expert in building, validating, and deploying audience segments, user attributes, and custom rules within the CDP.
• Maintain the integrity of our CDP data by enforcing data plans, troubleshooting data quality issues, and ensuring schema hygiene.
• Architect, build, and maintain robust batch and streaming data pipelines on Google Cloud Platform, leveraging GCP-native infrastructure and services.
• Set up and manage the GCP infrastructure that supports our CDP ecosystem, ensuring reliability, scalability, and security.
• Utilize Infrastructure-as-Code (e.g., Terraform) to automate the provisioning and management of cloud resources.
• Implement comprehensive monitoring and alerting to ensure the health and performance of data pipelines and CDP integrations.

Hands-On Delivery & Team Mentorship:

• Act as a primary individual contributor, writing clean, efficient, and production-ready code & mParticle data plans to directly advance the team's roadmap.
• Lead by example in engineering best practices, participating in code & architecture reviews and promoting a high standard of quality.
• Provide technical guidance and mentorship to a small number of junior team members, fostering their growth while remaining focused on hands-on delivery.
• Serve as an escalation point for complex technical challenges and production issues related to the CDP and its surrounding data infrastructure.

Required Qualifications:

• 8+ years of professional experience in data engineering, with a proven track record of hands-on development.
• Extensive, hands-on experience with a Customer Data Platform (CDP); deep expertise with mParticle is strongly preferred.
• Proven mastery of building and managing real-time data integrations, including setting up webhooks, managing event streams, and building complex audience segmentation rules.
• Deep expertise in the Google Cloud Platform (GCP) ecosystem, including practical experience with BigQuery, Pub/Sub, Dataflow, and Cloud Run/Functions.
• Advanced proficiency in Python and complex SQL for data manipulation and pipeline development.
• Hands-on experience with Infrastructure-as-Code (e.g., Terraform) and CI/CD pipelines.
• A "doer" mindset with a passion for solving complex problems and a willingness to contribute at all levels of the data stack.
• Excellent communication skills with the ability to articulate technical concepts to diverse audiences.

Preferred Qualifications:

• Experience with marketing technology solutions that integrate with a CDP (e.g., Braze, Google Ads, Meta, Live Ramp, others).
• Experience in a role that involved mentoring or informally leading other engineers.
• Familiarity with customer identity resolution and data privacy frameworks (e.g., GDPR, CCPA).