data architect lead (Seattle, WA)

Starbucks•Seattle, WA

34d•Hybrid

About The Position

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.

Requirements

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).
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
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

Nice To Haves

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.

Responsibilities

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.

Benefits

medical
dental
vision
basic and supplemental life insurance
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