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Principal Data Architect

Park Place Technologies

Highland Heights, OH · HybridFull-timePosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
Highland Heights, OHHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Principal Data Architect leads the design, implementation, and evolution of Park Place Technologies’ enterprise data architecture. The role defines architecture strategy and delivers complex data solutions, while supporting analytics, operational efficiency, and scalability. It also provides technical leadership, collaborates with business and IT stakeholders, and helps establish data governance standards. The posting seeks 10+ years of relevant experience and a bachelor’s or master’s degree in a related field.

Skills & qualifications

RequiredNice to have

Skills

Data Modeling, requiredData Integration, requiredData Warehousing, requiredCloud Data Platforms, requiredData Lake Technologies, requiredData Governance, requiredData Quality Management, requiredData Security, requiredCommunication, requiredInterpersonal Skills, requiredLeadership, requiredAnalytical Skills, requiredProblem Solving, requiredData Visualization, nice to haveData Science, nice to haveMachine Learning, nice to haveAgile Methodologies, nice to have

Qualifications

10+ Years Data Architecture Experience, requiredBachelor's or Master's in CS, IT, or Related, requiredAzure Solutions Architect Certification, nice to have

Full job description

Principal Data Architect

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%

How this job compares

Set against the 1,758 open Data Architect jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This postingNot listed
  • Ohio median$123–248K/yr58 salary ranges
  • US median$73–85/hr26 hourly ranges
Openings
Olive Jobs lists 88 open Data Architect jobs in Ohio and 1,758 across the US. 12% of them nationwide are listed as remote or flexible.
Hiring the most in Ohio
Experience
This posting asks for at least 10 years of experience; Data Architect postings that state a minimum ask for 8 years at the median (1,603 postings).
Education
622 of the 1,758 open Data Architect jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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