Job Description

Job Description:

Company Description: 

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.  

McDonald’s Global Technology is here to power tomorrow’s feel-good moments.  

That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant. We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.  

Check out the McDonald’s Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.  

Department Overview

McDonald’s Global Technology - Data & Analytics team is looking to hire a Senior Data Engineer who has a deep understanding of Data Product Lifecycle, Standards and Practices. This role would lead and own multiple products within the Global Data & Analytics team, from an engineering lead standpoint. This role is responsible for prioritizing multiple technical product backlogs, balancing new features, functional requirements, non-functional requirements and requests across teams and coordinating deployments with other Product Owners in the Data & Analytics team. The role requires the experience or proven aptitude to develop detailed domain knowledge of multiple products. The Senior Manager will oversee what work goes to development squads as the lead technology representative and decision-maker, working in tandem with the product team.

In this role, you will own responsibility for delivering data initiatives across our data product landscape, to globally improve and progress McDonalds to a world class data product organization. Partner with business customers and stakeholders to define and deliver the associated technical data product solutions using a mix of internal and external (vendor) resources and products and ensure successful integration with existing McDonald’s systems.

Responsibilities

  • Build and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view
  • Collaborate with Enterprise Architecture to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements
  • Participates in new software development engineering. Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality
  • Develops a solid understanding of the technical details of data domains, and clearly understands what business problems are being solved
  • Owns engineering modules, functionalities and supports them throughout the data development lifecycle
  • Develop the data product’s target technical blueprint and key technology decisions to deliver the roadmap
  • Designing and developing end-to-end data pipelines and ETL processes to extract, transform, and load data from various sources into cloud data storage solutions (e.g., S3, Redshift, GCS, BigQuery).
  • Lead a back-end engineering team and facilitate cross-functional relationships to solve relevant business challenges
  • Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing. 
  • Join forces with Product Managers across the organization to ensure alignment and coordination across products as necessary for multi-product work and initiatives
  • Participate in Intake Product Triage and decompose ideation tickets into Epics & Features with the help of the BTA, Project managers and deployment managers
  • Manage allocated resource and capacity including development, market enablement, bug resolution, site reliability engineering, and testing and reevaluate based on prioritized roadmap
  • Leveraging the product roadmap and release plan, provide capacity forecasting to Demand Management in advance, to plan for additional support or capacity required
  • Building and optimizing data integration workflows to connect data from different systems and platforms
  • Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks
  • Ensuring data security and compliance with data governance policies and regulations
  • Managing data infrastructure on cloud platform, including capacity planning, cost optimization, and resource allocation. 
  • Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to improve data systems and processes
  • Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference
  • Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. For instance, early morning/late evening hours to coordinate with teams in India

Qualifications

  • BS in Computer Science or related field is REQUIRED
  • 10+ years of hands-on experience in data engineering, specifically with AWS & GCP backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, GCS, BigQuery, Cloud Functions, Cloud Run, etc.
  • 8+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
  • Hands-on with Event, Workflow and Application driven Data Architecture. API and Microservices management
  • Working knowledge of cloud-based data systems, including AWS and GCP
  • Seasoned technical leader with hands-on development and deployment experience with insights into the newest technology and development trends.
  • Experience partnering with stakeholders across an at-scale, complex, global matrix org structure
  • 7+ years of experience with DevOps and data reliability engineering
  • 7+ years of hands-on experience with data modeling, ETL / ELT development, and data integration techniques (including real time data integration and processing)
  • Experience leading large cross functional teams to align and deliver projects.
  • Deep understanding of business, information, technical architecture (e.g. architecture principles design, deployment models), security
  • Experience with creating and executing testing strategies for functional, integration and performance testing
  • Experience developing solutions that provide high levels of resilience and scale.
  • Experience in leading a team of data engineers and data analysts in development efforts
  • Experience in Agile product development
  • Strong communication skills with ability to communicate complex technical concepts and align organization on decisions with stakeholders of all levels of expertise
  • Active coach and mentor whose goal is to grow and maximize team members’ potential
  • Proficiency in programming languages commonly used in data engineering, such as Python.
  • Hands-on experience with big data processing frameworks, such as Apache Spark.
  • Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
  • Solid understanding of SQL and database concepts.
  • Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
  • Expert Knowledge of data, master data and metadata related standards, processes and technology
  • Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
  • Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
  • Demonstrated experience in data management & data governance capabilities

Preferred Additional Requirements:

  • Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
  • Experience with Agile project management methods and terminology a plus
  • Experience with Prometheus, Grafana

Compensation

Bonus Eligible: Yes

Long - Term Incentive: Yes

Benefits Eligible: Yes

Salary Range

Salary Ranges-$149,260.00 - $190,310.00

Competencies

Execution Proficiency
Background & Values
Strategic Proficiency
Building Blocks
Talent Proficiency

Additional Information: 

Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.  

Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance. 

Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan. 

McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis. 

McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

Nothing in this job posting or description should be construed as an offer or guarantee of employment. 

Application Instructions

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