Lead Data Solution Architect

Sherwin-Williams - Cleveland, OH

Full-time - Mid Level

Cleveland, OH

Chemical Manufacturing

About the position

The Lead Data Solution Architect is responsible for designing and implementing system-level BIOS solutions that meet specifications and customer requirements. This role focuses on ensuring a robust data management framework that complies with industry standards, collaborating with stakeholders for successful data migration, and maintaining data quality and security. The architect will work with cross-functional teams to define system-level requirements and interface specifications, while also identifying and mitigating potential program risks.

Responsibilities

• Collaborate with cross-functional teams to define and document BIOS program system-level requirements and interface specifications.
• Drive collaboration with key stakeholders to identify and address BIOS program issues and opportunities where data can provide insights.
• Develop and execute test plans to validate BIOS 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 BIOS program solutions development and implementation.
• Identify and analyze BIOS business requirements and design solutions that integrate existing systems and technologies.
• 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, or 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 applications.
• 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.
• Analytical Solutions Development experience.
• Data modeling and data architecture experience in Oracle Cloud and Snowflake.
• Experience with Cloud Technology Platforms (e.g., AWS, Azure, Google Cloud).
• Experience with Database Management Systems (e.g., SQL Server, Oracle, PostgreSQL).
• Knowledge of Network Systems and Security (e.g., web application firewalls, intrusion prevention systems).
• Knowledge of star schemas and dimensional design concepts.

Nice-to-haves

• Related certifications (e.g., TOGAF) or relevant technical certifications for cloud technologies preferred.

Benefits

• Full-time regular employment with competitive salary range.
• Opportunities for professional development and training.