Data Engineer - Global Data Martech-Adtech Automation

Job Description
Company Description:
McDonald's evolving Accelerating the Arches growth strategy puts our customers and people first, and uses our competitive advantages to strengthen our brand. We are recognized on lists like Fortune's Most Admired Companies and Fast Company's Most Innovative Companies.
Doubling Down on the 4Ds (Delivery, Digital, Drive Thru, and Development)
Our growth pillars emphasize the meaningful role technology plays as the leading, global omni-channel restaurant brand. Technology enables the organization through digital technology, and improving the customer, crew and employee experience each and every day.
Global Technology forging the way
Leading the digitization of our business is the Technology organization made up of intrapreneurs who build industry defining tech using the latest innovations and platforms, like AI and edge computing to deliver on the next set of cutting-edge opportunities for the business. At McDonald's you get to solve technology innovation challenges at an incredible scale, and work across global teams who are always eager for a challenge. This provides access to exciting career paths for technologists. It's bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.
Job Description:
As Data Engineer, MarTech-AdTech Automation you'll be responsible for defining and executing on the technical vision for McDonald's Marketing Technology (MarTech) & Advertising Technology (AdTech) within the Data Products Team. You'll manage a team of engineers to drive architectural improvements and modernizations to stay at the cutting edge of marketing/advertising automation, specifically around mobile app ecosystems. The Data Engineer will bring their deep experience with marketing/advertising automation best practices to the McDonald's app platform to improve quality, scalability, and accelerate our ability to deploy new features that our customers love.
This role is based at our McDonald's Global Headquarters in Chicago, IL.
We are seeking a highly motivated individual for the Data Engineering Manager for the Marketer Customer Data Platform team on Global Data and Architecture. This role will manage, develop, and lead the execution and implementation cloud-based data delivery systems for the MCD Customer Data Platform. This role will specialize in leading and managing the engineering teams in both onshore and offshore locations, as well as working with the relevant product management teams on overall product direction and implementation of the product vision.
What you will do:

• Lead and manage the day-to-day operations for the Data Martech team with both, onshore and offshore, resources to with a focus on CDP/ CRM customer data technologies.
• Independently drive efforts in marketing technology and automation, collaborating with key stakeholders and business units. Must be able to find marketing solutions alongside building a long-term strategic vision of a marketing ecosystem across a highly technical, complex data stack
• Lead/Manage the solutioning, design, architecture, implementation, support, and monitoring of CRM, CDP, & AdTech related Data Products
• Continuously develop and deploy solutions to streamline and enhance the processes, logic, and tactics around customer cohort identification, and targeting via corporate CRM, marketing, and advertising systems
• Gather business and functional requirements and translate into robust, scalable, and user-friendly solutions
• Manage vision, best practices, and deployment for global AdTech Data Products solutions

Qualifications:

• Bachelor's degree in Information Technology or related technical fields such as computer science, marketing tech, mathematics, engineering, etc.
• Minimum 5-10 years of relevant work experience in marketing automation, with demonstrated experience in one of the industry leading Marketing Automation Platforms (Braze, Salesforce, Marketo, etc.)
• Minimum 2-5 years hands on experience with complex marketing automation tech stacks, leveraging CDP tools such as mParticle, Segment, and Tealium
• Minimum 2-3 years heads on experience implementing AdTech solutions in major ad platforms such as Google, Facebook, TTD, etc.
• Strong analytics skills, root cause analysis experiences on internal and external data and processes to answer business questions and improve application performance
• Comfortable partnering and working with a wide range of stakeholders at various levels of management and leadership
• Ability to focus on details as well as big picture
• Competence and comfort focusing on specific detail engineering questions, as well as "big picture" questions
• Ability to leverage critical thinking, problem-solving, and analytical skills to improve user experience, adoption, and outcomes
• Curious, task-oriented self-starter with a strong bias for action; Proven track record of "getting things done"
• Self-motivated with ability to set priorities and mentor others in a performance driven environment.
• Passion for technology and innovation & uncompromising attention to detail & passion for problem solving

Desired Skills

• Extensive experience working with Agile methodologies and expertise in production deployment processes and continuous deployment best practices.
• 1-2 years of hands-on experience with Braze and/or similar market automation delivery platforms
• 1-2 years of hands on experience with marketing automation and technology experience, understanding key components of marketing technology stacks, including CDP tools such as mParticle, Tealium, or Segment
• Experience with clickstream tracking architecture implementations, and knowledge of Adobe Analytics and/or Google Analytics
• Demonstrated ability to problem solve in complex technology solutioning
• Experience developing Confluence pages and working with Jira
• Experience developing and deploying 3rd party vendor integrations to paid media platforms
• Demonstrable knowledge of multiple programming languages leveraged in martech/adtech stacks - javascript, ruby (liquid logic), html/css, python etc.

Additional Information:
McDonald's is committed to providing qualified individuals with reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact [email protected]
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.