Manager, Data Product Engineering Tech Lead

Company Description: McDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world. At McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements. Department Overview The McDonald’s Global Technology - Data & Analytics team has an exciting opportunity for a data engineering Tech Lead (TL). 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. The TL is responsible for the discovery, solution design and delivery of data application/services and architecture of the systems across the data platform ensuring they are secure and standardized and can be easily consumed by downstream users/services/systems. Ensure tech design patterns and best practices are consistently applied & followed across systems. The TL is also a people leader for data engineers and owner of the architectural/technical decisions for the data product(s). Duties Develop the data product’s target technical roadmap and key technology decisions to deliver the roadmap, with first time data quality. Collaborate with Data & Solution Architects to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements. Actively manage and drive accountability of 3rd party technology vendors Ability to synthesize information and communicate effectively to a broad range of stakeholders Manage technical interdependencies and interfaces of their product with other systems and products Be the voice of change to advocate for effective and rationalized data footprint, and drive decommissioning of redundant processes and systems Partner with Product Managers and other stakeholders in planning, definition and high-level design of solutions; explore alternatives, partner with product teams in identifying technologies and making technical tradeoffs and decisions Architect and define a systems landscape to connect data flows across all McDonalds Data systems. Establish best practices for identifying, analyzing and managing technical risks. Responsible for testing strategy and the quality of the outputs of the internal/external development teams Provide people leadership for data engineers, professional development and engineering resources allocated to the product Define critical non-functional requirements that sustain throughout the data product lifecycle Participate in release preparation and planning Manage temporary solutions and technical debt at the squad level Serve as subject matter expert across McDonald’s data systems. Participate on data quality initiatives. 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. 6+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.) 5+ years of proficiency in SQL, with solid understanding of database concepts. Sound understanding of Event, Workflow and Application driven Data Architecture. API and Microservices management 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 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 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 Compensation Bonus Eligible: Yes Long - Term Incentive: Yes Benefits Eligible: Yes Salary Range The expected salary range for this role is $138,207.00 - $172,758.00 per year The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors. Additional Information: Benefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance. 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.