Hybrid Lead Data Architect - Enterprise Data Strategy

Park Place Technologies in; Highland Heights (OH); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Park Place Technologies is seeking a Principle Data Architect to lead the design, implementation, and evolution of our enterprise data architecture. You will shape the data ecosystem to enable advanced analytics, operational efficiency, and scalability.

You will define strategy, oversee data modeling, integration, warehousing, governance, and security while mentoring a team of data professionals and collaborating with stakeholders to deliver scalable data solutions.

Qualifications

• 10+ years of experience in data architecture or related fields.
• Experience with relational, dimensional, NoSQL data modeling.
• Experience with cloud data platforms and data lake technologies.
• Strong communication and leadership skills.

Responsibilities

• Define and maintain enterprise data architecture vision, strategy, and roadmap.
• Lead design and implementation of data pipelines, data lakes, and data warehouses.
• Evaluate and recommend new data technologies to support business needs.
• Collaborate with stakeholders to establish and enforce data governance policies, standards, and procedures.
• Provide technical leadership and mentorship to data architects, engineers, and analysts.
• Effectively communicate and collaborate with business stakeholders, IT leaders, and project teams.
• Stay abreast of industry trends and best practices in data architecture, data management, and data security.
• Develop and maintain comprehensive documentation of data architecture artifacts.

Skills

Data architecture

Data modeling

Data integration

Data governance

Data security

Leadership

Communication

Analytical skills

Education

Bachelor's or Master's degree in Computer Science/Information Technology

Tools

Azure

AWS

GCP

Job description

Park Place Technologies is seeking a Principle Data Architect to lead the design, implementation, and evolution of our enterprise data architecture. You will shape the data ecosystem to enable advanced analytics, operational efficiency, and scalability.

You will define strategy, oversee data modeling, integration, warehousing, governance, and security while mentoring a team of data professionals and collaborating with stakeholders to deliver scalable data solutions.