Domain Architect - Data & Analytics

Posted 1.12.24
Seattle, Wa
Who We Are:
At Brooks, we believe a run can change a day, a life, the world. Everyone who works here is a key part of our obsession to make the best running gear on the planet. We want our business — which also happens to be our passion — to be a place where everyone feels welcome and comfortable being themselves. Our company culture defines us, bonds us together, and drives our success. We live this culture daily through our brand values: Runner First, Word is Bond, Champion Heart, There is no “I” in Run, and Keep Moving. This means we always solve for the runner, do what we say we will, give it our all, are generous with our humanity, and find a way to keep moving every day, because joy is kinetic. 
Are you ready to help create something extraordinary?
Your Job:
The Enterprise Data & Analytics department is currently seeking an experienced Domain Architect that spans the entirety of our cloud-native data and analytics platform. This is an exciting opportunity to join a dynamic, growing team aimed at shaping the future of Brooks by enabling our people to make better, faster, data driven decisions.  You have passion for data, analytics, and how things work. You get excited about technology and sweat the details. You embrace the challenges and dive-in when things get sticky. You bring positive energy, collaboration, and intention to your work; you take pride in quality.
As the Data & Analytics Domain Architect, you will own the over-arching technology architecture for all solutions that make up our platform – both now (data integration tools to cloud PaaS services and Business Intelligence solutions) and in the future (AI / machine learning), you will know how everything ties together and ultimately how the platform delivers data and insights to our thirsty consumers. You will engage daily with the entirety of the Enterprise Data & Analytics team (Data Engineering, Business Intelligence, Data Science, Product Management Owners, and even Data Management and Governance) to understand the work and facilitate complete solutions. You will partner with peer architects across IT and communicate the touchpoints, integrations, processes and timings between the Data & Analytics Platform and other systems.
NOTE: This is a Seattle-based role
Your Responsibilities:
  • In alignment with the enterprise IT framework, develop data & analytics architecture patterns, guiding principles, best practices, processes, and standards and communicate those to the appropriate teams
  • Document the analytical data, information, integration, and system architectures – conceptual, logical, physical
  • Create and manage current/target state, architecture decisions, common framework, and components
  • Lead the efforts to develop and maintain the architecture quality (performance, security, availability, and flexibility)
  • Set an architecture direction that is aligned with business and IT strategy and goals
  • Maintain, evolve, iterate the application portfolio (application lifecycles and investment disposition) for applications in conjunction with IT and Enterprise Architecture leadership
  • Advise on tool selection, new design patterns, scoping and estimation, remediation of technical debt, and identifying risks and issues
  • Execute proof of concepts to validate tool / solution fit and participate in all vendor evaluations
  • Collaborate with the broader architecture community to ensure solutions align with the target architectures, roadmaps, standards, and principles
  • Define the solution architectures for highly complex projects
  • Review and approve all solution architectures to ensure alignment with domain architecture
  • Guide data pipeline and database design using modern data engineering tools and techniques
  • Deep dive into the technical challenges and issues that data platform teams face (analysis, mitigation, and solution remediation)
  • Balance capabilities of technical solution with ongoing costs for maintenance, support, and enhancement; evaluate the total cost of ownership
  • Lead efforts to develop and maintain the architectural assets for the functional or discipline domain; assets include architecture models, documentation, integration specifications, all in alignment with enterprise architecture standards
  • Set an architecture direction and roadmap for the domain that is aligned with the business and IT goals and enterprise architecture principles
  • Accountable for ensuring all solution architectures are presented for review by the Architecture Review Board (in partnership with solution architect, where applicable)
  • Participate as an accountable member of the Architecture Review Board to ensure architecture quality and compliance
  • Ensures architecture standards and principals are adhered to in the specific domain
  • Guide technology teams and solutions architects in the domain, ensuring solutions are implemented to standards
  • Mentor solution architects on domain-specific architectural assets and skills
  • Continuously develop cross-functional area or discipline knowledge and skills
  • Clearly communicate at the appropriate level of detail to stakeholders, data platform customers, technical team members, and business partners
  • Mentor solution architects
  • 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
  • Represent Enterprise Architecture by advocating and sharing knowledge with others in IT and across the broader organization
  • 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
  • Bring a positive Run Happy energy and work with the team to deliver the best possible solutions
  • Other responsibilities as required
  • 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
  • Excellent communication (written and verbal) skills, specific ability to break down technical topics into non-technical audiences
  • Effective problem-solver, with extraordinary analytical skills and attention to detail
  • Experience with ETL (e.g., Alteryx, KNIME, DBT, Airflow) and business intelligence tools (e.g., Tableau, Power BI)
  • Actively work to learn new skills to stay current with changing technologies and industry trends
  • Ability to work collaboratively within a larger team and across all levels of the organization
  • Ability to multi-task and manage multiple priorities concurrently
  • Exposure to data science technologies and capabilities
  • Embraces and lives Brooks values!
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