Domain Architect
Data & Analytics
Updated on 2/3/2024
Brooks Running

1,001-5,000 employees

Running shoes and apparel
Company Overview
Brooks Running's goals are simple: everyone who wants to run feels welcome to run, and everyone who runs has a place to do it. They're working toward meaningful change the same way we run — by tapping into the limitless positivity of the run and then putting one foot in front of the other.
Consumer Goods

Company Stage

M&A

Total Funding

N/A

Founded

1914

Headquarters

Seattle, Washington

Growth & Insights
Headcount

6 month growth

0%

1 year growth

6%

2 year growth

23%
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
Airflow
NoSQL
Data Science
R
SQL
MATLAB
Tableau
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • Bachelor’s degree in Computer Science, MIS, or related field preferred
  • 10+ years professional experience in data warehousing, data modeling / analysis, and data architecture concepts and techniques
  • Deep understanding of data platform architecture and cloud data solutions; Snowflake Data Platform required
  • Expert knowledge of SQL (T-SQL, MSSQL, TSQL and NoSQL) including programmability features and techniques
  • Expert knowledge of data management, data integration, and database development techniques
  • Expert knowledge of scripting languages such as Python, R, MATLAB; Python preferred
  • Awareness of data protection laws and regulations, globally
  • Experience with ETL (e.g., Alteryx, KNIME, DBT, Airflow) and business intelligence tools (e.g., Tableau, Power BI)
  • Exposure to data science technologies and capabilities
Responsibilities
  • Develop data & analytics architecture patterns, guiding principles, best practices, processes, and standards
  • Document the analytical data, information, integration, and system architectures – conceptual, logical, physical
  • Create and manage current/target state, architecture decisions, common framework, and components
  • Define the solution architectures for highly complex projects
  • Lead efforts to develop and maintain the architectural assets for the functional or discipline domain
  • Clearly communicate at the appropriate level of detail to stakeholders, data platform customers, technical team members, and business partners
  • Demonstrate innovation and initiative – always look at improving our products and processes while also displaying a willingness to dive into the details and help wherever necessary
  • Maintain awareness of new technologies, approaches, challenges, etc. in the space of Data, Business Intelligence, and AI / Machine Learning
  • Partner with business stakeholders to obtain expert-level knowledge of business objectives, initiatives, and roadmaps and identify viable technology solutions to deliver upon business strategies
Desired Qualifications
  • Ability to work collaboratively within a larger team and across all levels of the organization
  • Embraces and lives Brooks values