Hybrid Enterprise Data Architect - Strategy & Analytics

Park Place Technologies; Oklahoma; Híbrido; USD 140 000 - 190 000; Tempo integral

Resumo da oferta

Park Place Technologies in Cleveland, OH is seeking a Principle Data Architect to lead the design, implementation, and evolution of our enterprise data architecture. This role enables advanced analytics, scalability, and operational efficiency across the organization.

You will define the data architecture vision, guide data modeling and integration efforts, and mentor a team of data architects, engineers, and analysts while collaborating with stakeholders to meet strategic objectives.

Qualificações

• 10+ years of experience in data architecture or related fields with a track record of designing complex data solutions.
• Strong knowledge of data modeling, integration, and warehousing.
• Experience with cloud platforms (Azure, AWS, GCP) and data lake technologies.
• Bachelor's or master's degree in CS/IT or related field.

Responsabilidades

• Define and maintain the enterprise data architecture vision, strategy, and roadmap.
• Lead the design and implementation of data pipelines, data lakes, and warehouses.
• Collaborate with stakeholders to enforce data governance, quality, and security.
• Provide technical leadership and mentorship to data teams.
• Communicate with business and IT leaders to translate data requirements into solutions.
• Develop documentation of data architecture artifacts.

Conhecimentos

Data architecture

Data warehousing

Data modeling

Cloud platforms

Governance

Formação académica

Bachelor's or Master's degree in CS/IT

Ferramentas

Azure

AWS

GCP

Data lake tech

Descrição da oferta de emprego

Park Place Technologies in Cleveland, OH is seeking a Principle Data Architect to lead the design, implementation, and evolution of our enterprise data architecture. This role enables advanced analytics, scalability, and operational efficiency across the organization.

You will define the data architecture vision, guide data modeling and integration efforts, and mentor a team of data architects, engineers, and analysts while collaborating with stakeholders to meet strategic objectives.