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Lead Data Solution Architect

2 months ago

Cleveland, Ohio, United States Sherwin-Williams Full time
About the Role

We are seeking a highly skilled Data Solutions Architect to join our team at Sherwin-Williams. As a key member of our organization, you will be responsible for designing and implementing system-level data solutions that meet our business requirements and customer needs.

Key Responsibilities
  • Collaborate with cross-functional teams to define and document system-level requirements and interface specifications.
  • Drive collaboration with key stakeholders to identify and address data program issues and opportunities where data can provide insights.
  • Develop and execute test plans to validate data program operating systems functionality.
  • Collaborate with hardware design teams to ensure system compatibility and functionality.
  • Develop and maintain relationships with vendors and third-party providers for implementation of solutions.
  • Ensure compliance, operational, and security requirements are met in data program solutions development and implementation.
  • Identify and analyze data business requirements and design solutions that integrate existing systems and technologies.
  • Ensure compliance, operational, and security requirements are met in data solutions development and implementation.
  • Perform analysis of technology industry and market trends.
  • Coordinate across internal IT teams and customers to resolve functional and technical blockers impacting solution delivery.
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, or related field. In lieu of related degree, at least 8 years of experience in IT solution architecture and development of large-scale complex systems.
  • 8+ years of experience in data solutions architecture and development of large-scale complex reporting and analytics solutions.
  • Experience with software development methodologies, frameworks, and enterprise-level application.
  • Strong understanding of data structure, data modeling and its impact on high performing, scalable analytics that align with data strategy.
  • Excellent technical hands-on development experience with modern analytical platforms including Tableau, MicroStrategy and Oracle Analytics.
  • Knowledge of software design patterns, data structures, and algorithms.
  • Excellent problem-solving and analytical skills.
Technical Requirements
  • Analytical Solutions Development
  • Data modeling and data architecture experience in Oracle Cloud and Snowflake
  • Cloud Technology Platforms (e.g., AWS, Azure, Google Cloud)
  • Database Management Systems (e.g., SQL Server, Oracle, PostgreSQL)
  • Network Systems and Security (e.g., web application firewalls, intrusion prevention systems)
  • Knowledge of star schemas and dimensional design concepts.
Travel Requirement

10% travel requirement.