manager, Data Engineering- Enterprise Data & Semantic Platforms (Seattle, WA)

Starbucks Coffee Company•Seattle, WA

2d•Onsite

About The Position

Now Brewing - engineering manager - Enterprise Data & Semantic Platforms! 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 leaders who share this passion and are guided by their service to others. As a manager, data engineering, you will . . . Contribute to Starbucks success by managing the planning and execution of activities of a Data Engineering Team. As a manager in data engineering, you are responsible for managing a team of data engineers through planning, delivery and operations of solutions. This is a hands on technical role. You are also responsible for the evolvement, delivery and support the technology strategy and roadmaps for new and existing applications and platforms. This role requires managerial experience, technical expertise, domain proficiency, platform depth, and leadership. Models and acts in accordance with Starbucks guiding principles. Are you an engineering leader passionate about data, semantics, and AI? Do you understand that AI is driven by context, classification, and relationships? If you want to enable ethical AI at enterprise scale while inspiring a high-performing team, we'd love to hear from you.

Requirements

Semantic Expertise: Strong understanding of relationship data, graph technologies, taxonomy, and ontology.
Enterprise Data Leadership: Experience building scalable data platforms and applying SDLC best practices.
Hands-On Background: Previous coding or data engineering experience (role is leadership-focused, not coding-heavy).
Execution Track Record: Proven ability to deliver complex projects using Agile and Waterfall methodologies.

Nice To Haves

Background in Information Architecture, Library Science, or advanced Computer Science.

Responsibilities

Lead & Inspire: Set vision, goals, and priorities for a data engineering team; foster innovation and collaboration.
Drive Execution: Align initiatives with business objectives, ensure transparency, and deliver measurable impact.
Mentor & Develop: Build an environment of trust, coach team members, and support career growth.
Partner with Stakeholders: Consult across business and technology teams to define data needs and deliver solutions.
Shape Data Strategy: Define and maintain enterprise data products and frameworks for analytics, AI/ML, and operational reporting.

Benefits

medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
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
two personal days per year
participation in a 401(k) retirement plan with employer match
discounted company stock program (S.I.P. )
Starbucks equity program (Bean Stock)
incentivized emergency savings
financial well-being tools
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
access to other educational opportunities
backup care
DACA reimbursement