Job Description
Company Description
International Dairy Queen, Inc. (IDQ), based in Minneapolis, Minnesota, is the parent company of American Dairy Queen Corporation and Dairy Queen Canada, Inc. Through its subsidiaries, IDQ develops, licenses, and services a system of more than 7,800 DQ restaurants in more than 20 countries. IDQ is a subsidiary of Berkshire Hathaway, Inc. For more information, visit DairyQueen.com.
Here at IDQ, we create extraordinary Fan experiences every day and we do this through our commitment to hiring and retaining only the best in class talent. We firmly believe that our employees are the catalyst to the success of the company where their initiative, strategic thinking, and entrepreneurial spirit are recognized and rewarded. We’re looking for motivated, passionate and dedicated individuals with an inherent need and ambition to go after bigger challenges.
Job Description
We have an exciting opportunity available for a Data Architect working out of our corporate offices in Bloomington, MN. The Data Architect focuses on the development and support of the Analytics & Reporting Enterprise Data Warehouse (EDW) and PowerBI reporting environments at Dairy Queen. This position works on projects providing assistance and expertise to the business and IT representatives on how best to organize and provide information to meet the measurement and analytics needs of the organization. The incumbent provides support in the development, analysis, design, and management of a variety of complex data sources and visualization methods to support clinical and operational process improvement.
Additionally, the data architect will guide a team of data engineers to ensure consistent, reliable, and sustainable data solutions are delivered. The data architect will work with a team to influence data management processes that result in highly accurate and trusted data assets for use across the organization.
Finally, the data architect influences stakeholders to ensure investments in data-driven solutions are centered on optimizing clearly defined and quantified business outcomes. This position plans, designs, and optimizes for data throughput and query performance issues. This requires constantly updating expertise in areas such as platform, network, and storage technologies, bandwidth management, data bus implications, and design.
Key Accountabilities Include:
- Systems Engineering & Administration
- Design, architect, and document the database schema and data pipelines
- Capable of using agile methodology and implementing Continuous Integration/Continuous Delivery (CI/CD) pipelines
- Perform key thought leadership in areas of data engineering: modeling, integration, big data and cloud solution design, data warehousing, and data discovery
- Designs and develops appropriate Extraction, Transformation, and Loading (ETL) applications. Deploy and maintain system and database monitoring tools
- Perform other related duties as assigned
- Partner with the BI team to define and establish architectures to support centralized metadata, reference data, business rules, and data sourcing and sharing controls
Service Development
- Define service commitment standards for cloud data warehousing via the publication and ownership of service-level objectives
- Maintain knowledge of emerging technology
- Define and meet SLA requirements for analytics components
- Embrace agile methodology for iterative development
Communication & Collaboration
- Ability to function as a technical lead, including hands-on implementation, as well as working closely with developers and data analysts
- Communicate effectively, verbally and in writing with people at all organizational levels
- Lead in a team environment, making positive contributions to the organization
- Establish and maintain effective relationships with staff members, customers, and vendors
- Other duties as assigned or required
Data Governance
- Contribute to the creation of processes for improving data quality across the enterprise
- Provide leadership for developing and operating a data governance framework.
The US national base salary range for this position is $128,841-$161,052. This position is also eligible for a bonus. The base salary range displayed reflects the targeted hiring range for positions across all US locations. Individual pay is determined by job-related skills, work location and relevant education or experience.
Qualifications
Education/Experience:
- B.S. or M.S. in computer science, computer engineering, or a related technical field or equivalent experience in lieu of degree
- 5+ years of experience in architecting data-driven solutions
- Minimum 5 years of experience in cloud-based ETL architecture/development, implementation, and support
- Minimum 5 years of experience with Python, Bash, and other scripting languages
- 2+ years of experience architecting cloud-native data solutions on Microsoft Azure, ADF, AWS, Fabric, or Google Cloud platform. Familiarity with large-scale analytics systems (Microsoft Stack preferred) ·
Skills:
- Excellent analytical and problem-solving skills
- Strong written and oral communication skills
Additional Information
Benefits
Our benefit package supports the well-being of our employees and their families. Our comprehensive benefit package includes, medical, dental, 401K match, paid time off (including volunteer time as well as parental leave) and so much more! To learn more about our great benefit offerings, Click Here.
Work Environment
Most positions located out of our global headquarters in Bloomington, MN will work a hybrid work schedule where you will work 3 collaboration days a week. Additional in office time may be required to support team/project needs.
Inclusion & Belonging
We are committed to creating a culture of inclusion and belonging for all who touch DQ. We believe in and commit to fostering a community where employees bring their authentic selves to work, and where we recruit, engage, and retain employees, franchise owners, and suppliers based on qualifications and merit. We strive to maintain an environment where everyone feels welcome.
IDQ is an Equal Opportunity Employer, and we use E-Verify to confirm the identity and employment eligibility of all new team members. You must be authorized to work in the United States without the need for employer sponsorship.
