Principal Data Architect- Contractor

Cleveland Headquarters Office • Highland Heights, OH

9d

About The Position

The Principal Data Architect leads the design, implementation, and evolution of the enterprise data architecture. The role helps ensure the Park Place data ecosystem supports current and future business objectives, enabling advanced analytics, operational efficiency, and scalability.

The Principal Data Architect defines the enterprise data architecture vision, strategy, and roadmap; leads the design and implementation of data solutions; evaluates emerging technologies; and collaborates with stakeholders on data governance. The role also provides technical leadership and mentorship, communicates with business and IT stakeholders, stays current with industry practices, and maintains documentation of data architecture artifacts. Other duties may be assigned. Travel is less than 10%.

Requirements

• 10+ years of experience in data architecture, data warehousing, or related fields, with a proven record of designing and implementing complex data solutions.
• Deep understanding of data modeling techniques, including relational, dimensional, and NoSQL; data integration patterns, including ETL and ELT; and data warehousing principles.
• Experience with cloud-based data platforms such as Azure, GCP, or AWS and with data lake technologies.
• Strong understanding of data governance principles, data quality management, and data security best practices.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively with diverse stakeholders.
• Strong analytical and problem-solving skills, with the ability to identify and resolve complex data challenges.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Nice To Haves

• Experience with data visualization tools and techniques.
• Knowledge of data science and machine learning concepts.
• Experience with Agile methodologies.
• Relevant certifications, such as Azure Solutions Architect.

Responsibilities

• Define and maintain the enterprise data architecture vision, strategy, and roadmap, including data modeling, data integration, data warehousing, and business intelligence.
• Lead the design and implementation of complex data solutions, including data pipelines, data lakes, and data warehouses, ensuring scalability, performance, and security.
• Evaluate and recommend new and emerging data technologies, tools, and techniques to support business needs and drive innovation.
• Collaborate with stakeholders to establish and enforce data governance policies, standards, and procedures to ensure data quality, integrity, and compliance.
• Provide technical leadership and mentorship to data architects, engineers, and analysts, fostering collaboration and knowledge sharing.
• Communicate and collaborate with business stakeholders, IT leaders, and project teams to understand data requirements and deliver suitable solutions.
• Stay abreast of industry trends and best practices in data architecture, data management, and data security.
• Develop and maintain documentation of data architecture artifacts, including data models, data flow diagrams, and data dictionaries.
• Perform other duties as assigned.

What This Job Offers

• Career Level: Principal