From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary partners who share this passion and are guided by their service to others. We are seeking a lead data solution architect who can help us create that connection by guiding Starbucks enterprise data modeling, data architecture design, data governance, data integration and performance optimization.

As a lead data solution architect of our Enterprise and Solution Architecture team, this role is responsible for working with business and engineering team to design solution for ingesting, processing and syndicating data. The data solution architect ensures data are well organized for accessibility, security and reliability by maintaining data frameworks, models, and policies. They translate business needs into technical solutions. Meanwhile, they ensure the data follow best practice and enterprise standard to ensure long term healthy and success of the data platform.

In this role, you will…

Data Modeling: Creating conceptual, logical, and physical data models to represent how data is structured and used across the enterprise.  Data Architecture Design: Providing solution architecture for specific business requirements as well as the overall enterprise data ecosystem. Developing and providing guidance on enterprise best practices for data ingestion, processing, and integration  Data Governance: Establishing policies, standards, and procedures for data quality, security, and access to ensure data integrity and compliance.  Data Lake Design and Management: Designing, implementing, and maintaining data lake to support reporting, analytics, AI/ML and other business requirements.  Data Integration: Ensuring data from different sources can be seamlessly integrated and accessed.  Performance Optimization: Monitoring database/data lake performance and identifying areas for improvement to ensure efficient data access and processing. 

Skills and experiences that will help you excel in this role…

Technical Skills:

In-depth knowledge in architecting and implementing data Lakehouse platforms, including strong experience with Databricks platform and Unity Catalog.  Experience with data management principles and best practices, including data governance frameworks using Collibra tool. Ability to create and manage conceptual, logical and physical data models, data definitions, data dictionaries. Experience with data modeling tool such as ER Studio. Ability to define, apply, review, and improve enterprise standards in object naming conventions, business vocabularies, and data models.  Strong experience in designing data solutions to address data standards and principles both from functional and technical requirements perspective. Experience in Azure cloud and data bricks platform, AI/ML, reporting and analytics tools and technologies. Good understanding of master data and metadata management procedures to ensure data accuracy, consistency and compliance.  Experience in working closely with data engineers, data scientists to optimize data integration workflows for scalability, cost management and service level agreements (SLAs).  Knowledge of hub and spoke data architecture and data mesh principles is a plus.   Proficiency in defining and developing ontologies, business taxonomies, and extended object metadata is a plus.

 Communication Collaboration Skills:

A people-first style, strong multi-audience communications, and high emotional intelligence Ability to communicate technical concepts to both technical and non-technical audiences.  Highly committed and an excellent team player. Experience in working closely with multiple technical teams to review and document data solution architecture. Experience with collaborating with stakeholders to understand data needs and translating business requirements into actionable solution design

Your education, training, and experience should include…

Eight or more years of architecture, data, and/or IT experience Two or more years knowledge data modeling and/or engineering Two or more years of data cataloging and/or classification Two or more years of data engineering and/or data transformation

 

 

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools.  Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities.  You will also have access to backup care and DACA reimbursement.   Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.

*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above.  For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.  At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.

If you live in the greater Seattle area, we offer a flexible workplace that allows for hybrid work. Partners can work remotely one day per week, onsite Mon-Thur.

Join us and inspire with every cup. Apply today!

Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.