Principal Data Architect- Contractor

Park Place Technologies•Highland Heights, OH

About The Position

The Principal Data Architect is responsible for leading the design, implementation, and evolution of the enterprise data architecture. The role supports current and future business objectives by enabling advanced analytics, operational efficiency, and scalability. The position defines the enterprise data architecture vision, strategy, and roadmap; leads complex data solution design and implementation; and provides technical leadership and mentorship. It also involves collaboration with business stakeholders, IT leaders, and project teams, and maintaining documentation of data architecture artifacts. Travel is less than 10%.

Requirements

  • 10+ years of experience in data architecture, data warehousing, or related fields, with a proven track 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 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 a proven 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 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 solutions that meet their needs.
  • 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.
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