Compensation Overview

Your Responsibilities:

• DATA & ANALYTICS DOMAIN FOCUS
• 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


• SOLUTION ARCHITECTURE FOCUS
• 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


• ENTERPRISE ARCHITECTURE FOCUS
• 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


• GENERAL
• 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

Qualifications:

• 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!