Senior Manager Data Engineering
Senior Manager Data Engineering
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Job Description
McDonalds Global Technology Data & Analytics team is looking to hire an Enterprise Data Analytics & AI (EDAA) Senior Manager Data Engineering who can lead the solution design and development of a new universal semantic layer tool for McDonalds. As a Senior Manager Data Engineering you will be responsible for designing the solution managing the engineering squad to build the solution and partnering with the business product owner to deploy and drive adoption in the markets and business functions. The semantic layer tool will help drive the standardization of key metrics and KPIs drive better access to data and enable easier data blending across our lake. Consumers of the semantic layer include business users tech teams and other applications. To achieve this you will work closely with the business product team and collaborate with other cross functional teams like enterprise and solution architecture data governance insights and more. Your expertise in data engineering analytics AI and BI architecture will play a crucial role in delivering a highquality data semantic layer product and enabling one McDonalds way of datadriven decisionmaking.
Responsibilities:
- Leads the design and architecture of the semantic layer solution to enable scalable efficient data access for business users applications insights users and tech teams
- Works with cross functional teams like solution architecture enterprise architecture data governance cybersecurity and functional stakeholders to ensure the semantic layer solution meets all priority functional and nonfunctional requirements
- Works with business product owner data governance product and insights teams to leverage the semantic layer to drive standardization of KPIs and metrics to establish One McDonalds way of measurement
- Manages a data engineering squad to develop the MVP solution and future enhancements and iterations
- Drives key design decisions for the full stack semantic layer solution throughout design and build coordinating between different stakeholders and leaders for input
- Collaborates with business product owner in two in the box model to prioritize work and manage product roadmap
- In collaboration with business product owner engages with market stakeholders to identify how the semantic layer solution can help solve their business problems
- Establishes and maintains a solid understanding of the technical details of all data domains and clearly understands what business problems are being solved and capabilities enabled with their data
- Works with product and platform teams to integrate with the semantic layer determining the right patterns to leverage
- Advocates for selfservice analytics by enabling nontechnical users to easily access and analyze data
- Collaborates with AI team to ensure the semantic layer enables key AI use cases (I.e. Agentic AI NLQ queries MLdriven insights)
- Manages integrations with other products and tools establishing data contracts and core PDR principles
- Works with data products and architecture teams to maintain standardized data models to provide a consistent view across domains and products
- Leads solutioning of realtime and batch processing strategies to balance freshness cost and speed in data delivery
- Ensures the data engineering team has the right skillsets and capacity to deliver on the target state solution
- Stays up to date on industry trends and emerging technologies to enhance the semantic layers capabilities
Benefits eligible: Yes
Bonus eligible: Yes
Long term incentive eligible: Yes
The expected salary range for this role is $149260 $190310 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 jobrelated factors.
Qualifications :
- Bachelors or Masters degree in Computer Science or related engineering field and deep experience with AWS or GCP infrastructure
- Experience leading a data engineering squad
- Experience building a data product through solution design build deploy and scale phases
- Strong SQL knowledge and experience with data modeling dimensional modeling and cloud data warehouse concepts
- 5 years of proficiency in programming languages commonly used in data engineering such as Python and SQL
- 5 years of handson experience with data modeling ETL development and data integration techniques.
- Working knowledge of relational and dimensional data design and modeling in a large multiplatform data environment
- Expert knowledge of quality functions like cleansing standardization parsing deduplication 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
- Excellent problem solver use of data and technology to solve problems or answer complex data related questions
- Excellent communication and collaboration skills to work effectively in crossfunctional teams
Preferred 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 semantic layer SaaS tools (i.e. Cube AtScale Looker)
- Experience with GraphQL
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 McDonalds longterm incentive plan.
McDonalds is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feelgood moments for everyone. McDonalds 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 . Reasonable accommodations will be determined on a casebycase basis.
McDonalds 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
