Data engineering SRE III [T500-19169]

About McDonald’s:

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.

Position Overview:

We are seeking an exceptional Senior Data Product Engineering SRE to lead the development and operational excellence of our data products that deliver insights and drive critical business decisions. This role uniquely combines product engineering mindset, data platform expertise, and site reliability engineering practices to build, scale, and maintain customer-facing data products and internal analytics platforms. You will own the end-to-end reliability of data products from ingestion to user experience, ensuring they deliver business value at scale.

Key Responsibilities:

• Define and execute product reliability strategy for customer-facing analytics, dashboards, and data APIs
• Partner with Product Management to translate business requirements into scalable, reliable data product architectures
• Establish product metrics, KPIs, and success criteria for data products serving external and internal customers
• Lead cross-functional initiatives to improve data product adoption, engagement, and customer satisfaction
• Build and maintain data products including real-time dashboards, analytics APIs, and embedded analytics solutions
• Design user-centric data experiences with focus on performance, reliability, and scalability
• Implement A/B testing frameworks and experimentation platforms for data product optimization
• Establish and maintain SLAs for data product availability, latency, and accuracy
• Implement comprehensive monitoring for user-facing data products including frontend and backend metrics
• Build automated testing frameworks for data product functionality, performance, and data quality
• Lead incident response for data product issues affecting customer experience
• Monitor and optimize data product performance from end-user perspective (page load times, query response times)
• Implement user feedback collection and product analytics to drive continuous improvement
• Collaborate closely with Product, Engineering, Data Science, and Customer Success teams
• Establish engineering practices for data product development including code reviews and deployment processes
• Influence product roadmap with technical feasibility and reliability considerations
• Champion data product best practices across the organization
• Balance innovation with operational stability and customer commitments
• Collaborate with Product Management on feature prioritization and requirements

Required Qualifications:

• 8+ years of experience in product engineering, data engineering, or SRE roles
• 5+ years building customer-facing data products, analytics platforms, or business intelligence solutions
• 3+ years in senior or lead positions with direct team management experience
• Proven track record of shipping data products that drive measurable business impact
• Experience with product development lifecycle from ideation to launch and optimization
• Expert-level experience building user-facing applications and APIs
• Deep expertise with analytics databases (Redshift, BigQuery, ClickHouse), real-time processing (Kafka, Spark Streaming), and BI tools (Tableau, Looker, Power BI)
• Proficiency with React, Vue.js, or Angular for building data visualization interfaces
• Advanced skills in Python, Java, or Node.js for API development and data services
• Expert-level SQL skills and experience optimizing queries for interactive analytics workloads
• Extensive experience with AWS or GCP data and compute services
• Strong product sense with ability to balance technical constraints with user needs
• Experience with product analytics tools (Amplitude, Mixpanel, Google Analytics) and metrics-driven development
• Ability to understand business requirements and translate them into technical solutions
• Strong technical writing skills for customer-facing documentation and API specifications
• Experience with agile product development methodologies (Scrum, Kanban, Design Thinking)
• Track record of building and scaling product engineering teams

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