Senior Data Domain Architect

The Senior Data Domain Architect is a senior technical leader responsible for defining and guiding the architecture of a specific enterprise data domain. This role ensures that the domain's data architecture is cohesive, scalable, and aligned with Sherwin-Williams' enterprise data strategy and digital transformation goals. This role is the single point of accountability for the technical architecture of the data domain solution, integrating data lifecycle considerations, domain-level integration patterns, and API alignment. It works in close collaboration with enterprise architects, DIL integration architects, solution architects, data engineers, and specialists in data modeling and governance to ensure architectural integrity and execution. The role is also responsible for working with business data stewards, domain owners to understand the vision and business strategy for the data domain, mapping business needs with technical capabilities, services, and products aligned with data strategy and roadmap.

• Lead the design of data lifecycle flows within the domain, ensuring clarity on how data is created, transformed, consumed, and retired.
• Define and maintain the technical architecture (end to end solution blueprint) for the data domains, ensuring alignment with enterprise architecture principles and business strategy.
• Serve as the architectural authority for the domain, integrating data lifecycle, integration, and API considerations into a cohesive solution.
• Leverage and recommend integration patterns within the data domain (e.g., ETL/ELT, streaming, event-driven) in collaboration with enterprise DIL Integration Architects, ensuring alignment with domain semantics, data lifecycle needs, and business objectives-without owning enterprise integration tooling or service contract design.
• Collaborate with Enterprise Data Architects to ensure domain architecture aligns with enterprise data strategy.
• Work with Data Modelers (canonical and analytics) to ensure domain architecture supports modeling needs.
• Colloborate with Data Governance and Quality Architects to ensure lifecycle and integration designs support governance and quality objectives.
• Conduct reviews of solution designs and provide recommendations for improvement to ensure consistency and compliance with architecture principles, policies, standards, and frameworks.
• Provide architectural guidance to development and engineering teams implementing domain solutions.
• Utilize data domain industry expertise and knowledge of leading practices to recommend best practices around enterprise data domains architecture designs.
• Communicate technical considerations and impacts to stakeholders.
• Contribute to the domain's architectural roadmap and its alignment with enterprise digital initiatives
• Stay informed on emerging technologies and trends to identify opportunities for innovation and continuous improvement.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.

Minimum Requirements

• Must be at least 18 years of age

Education

• Required
  
  
  
  • Bachelor's degree in Computer Science, Information Systems, or in lieu of a degree, at least 11 years of experience in IT
  
  
• Preferred
  
  
  
  • TOGAF Certification
  
  

Skills and Experience

• Required
  
  
  
  • 8-10 years of experience in the specific domain and designing solutions
  • Experience designing and architecting complex systems at the functional or enterprise level.
  • Experience with technology integration and the design of interfaces between systems
  • Strong understanding of Software Development Lifecycle Methodologies (Agile, Waterfall)
  • Experience with enterprise application integration and service-oriented architecture
  • In-depth knowledge of existing and emerging enterprise architecture principles, policies, standards, and frameworks
  • Excellent analytical and problem-solving skills
  • Excellent written and verbal communication skills
    
    
    
    • Technical Skills
      
      
      
      • Virtualization Technologies
      • Enterprise Storage Architecture
      • Cloud Technologies & Platforms
      • Web Services, APIs, Microservices, and SOA
      • Application Architecture
      • Data Architecture
      • Project Management Methodology
      • Architecture Governance & Standards
      • Solution Architecture Patterns
      • Software Development Lifecycle (SDLC) Methodology
      • Emerging Technologies and Automation Tools
      • Technology Cost Optimization
      • Domain Knowledge
      • Change Management
      
      
    
    
  
  
• Preferred
  
  
  
  • Data management principles
  • Domain API design
  • Knowledge of Data modeling