Principal Data Architect

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

Cleveland Headquarters Office
Highland Heights, OH 44143, USA

• Hybrid
• IT/IS
• Full-Time
• Requisition #: PRINC006688

Description

The Principle Data Architect is responsible leading the design, implementation, and evolution of our enterprise data architecture. This role plays a strategic role in ensuring the Park Place data ecosystem supports current and future business objectives, enabling advanced analytics, operational efficiency, and scalability.

What you’ll be doing:

• 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 a culture of collaboration and knowledge sharing.
• Effectively 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 comprehensive documentation of data architecture artifacts, including data models, data flow diagrams, and data dictionaries.
• Other duties as assigned.

What we’re looking for:

• 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 (e.g., relational, dimensional, NoSQL), data integration patterns (e.g., ETL, ELT), and data warehousing principles.
• Experience with cloud-based data platforms (e.g., Azure, GCP, 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.

Bonus Points:

• Experience with data visualization tools and techniques.
• Knowledge of data science and machine learning concepts.
• Experience with Agile methodologies.
• Relevant certifications (e.g., Azure Solutions Architect)

Education:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Travel:

• <10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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