Senior Manager, Data Engineering [T500-19643]

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 Summary:

Looking to hire a Senior Engineer at the G5 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Finance, Franchising & Development function with a specific focus on the Finance Analytics product and initiatives. As a Senior Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted financial data, supports decision-making, and partners with business and technology teams to align data capabilities with strategic finance objectives. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.

Who we are looking for:

Primary Responsibilities:

• Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
• Develop strategies for scaling Financial Analytics data products across the organization, ensuring solutions are adaptable and future-ready
• Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
• Ensure data quality and integrity through audits, validation processes as per financial regulations per country, and governance frameworks.
• Collect feedback from business stakeholders and end-users to continuously improve financial data products and align with evolving business requirements.
• Collaborate with cross-functional teams to ensure data solutions are aligned with business and financial analytical needs.
• Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
• Ensure comprehensive documentation for each financial data product, covering technical specifications, use cases, and performance metrics
• Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery in Finance Analytics.
• Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
• Conduct performance reviews, coach team members, and support career development initiatives.
• Champion upskilling and training across the engineering team to ensure continued excellence in delivering finance-related solutions.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill:

• Provides technical leadership and drives operational excellence across Finance Analytics data engineering initiatives
• Bachelor's degree or higher in Computer Science, Engineering, or a related field
• 8+ years of professional experience in data engineering or related domains
• 4+ years of AWS or GCP experience
• Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
• Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
• Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
• Proven success in managing and scaling data engineering teams in complex environments
• Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
• Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
• A self-initiated influencer, Systems thinker and strong stakeholder management.
• Exceptional problem-solving and innovation skills with a strategic mindset.

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