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Director Data Engineering Jobs in Ohio (NOW HIRING)

The Hartford

Director, Data Architect

Columbus, OH · Hybrid

$61.50 - $79.25/hr

Dir Data Architecture - GT06AE We're determined to make a difference and are proud to be an ... Partnering closely with leaders across Actuarial, Data Science, Data Engineering, Technology, and ...

Express

Director Data & Insights

Columbus, OH · On-site

This role leads team members in data engineering, enterprise integrations, data architecture, data ... Direct the total cost of ownership (TCO) for the data ecosystem, managing data budgets and ...

Express

Director Data & Insights

Columbus, OH

This role leads team members in data engineering, enterprise integrations, data architecture, data ... Direct the total cost of ownership (TCO) for the data ecosystem, managing data budgets and ...

Express

Director Data & Insights

Columbus, OH · On-site

This role leads team members in data engineering, enterprise integrations, data architecture, data ... Direct the total cost of ownership (TCO) for the data ecosystem, managing data budgets and ...

Highlights for Children

Data Architect

Columbus, OH · On-site

$61.50 - $79.25/hr

Provides architectural guidance to data engineers through code, patterns, design reviews, and collaboration, without a direct reporting relationship. Education and ExperienceRequired * Bachelor ...

Educate!

The analytics engineering layer on BigQuery is healthy and fully owned, and the team actively ... direct the shared data engineer toward achieving those goals. Data Engineering and Infrastructure ...

DPDHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... Able to direct developers on necessary test scenarios if plans are lacking. * Able to execute data ...

DHL

Lead Data Engineer

Westerville, OH · On-site

$85K - $150K/yr

Data Engineering * Use of azure data factory especially with metadata driven pipelines. * Strong ... Able to direct developers on necessary test scenarios if plans are lacking. * Able to execute data ...

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Director Data Engineering information

See Ohio salary details

$69.4K

$185.1K

$241.5K

How much do director data engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for director data engineering in Ohio is $185,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $240,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What are popular job titles related to Director Data Engineering jobs in Ohio? For Director Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in Ohio look for? The top searched job categories for Director Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Director Data Engineering jobs? Cities in Ohio with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $185,109 per year, or $89 per hour.
Sr. Director, Data Engineering

Sr. Director, Data Engineering

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Posted 19 days ago

Park Place Technologies rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

92nd of 210 rated it services

Job description

Sr. Director, Data Engineering
The Senior Director of Data Engineering is a key senior leader responsible for the strategy, architecture, and execution of the enterprise data engineering function. This leader will build and scale a high-performing team, drive strategy and design of the data engineering framework for reporting needs, facilitates strategy around the data warehouse, partners with other IT leaders to provide availability of data for AI/ML initiatives, assists with business intelligence, and core operational systems for seamless reporting. Reporting to senior technology leadership, this role serves as a strategic partner to IT, Analytics, and business stakeholders to ensure data is reliable, governed [in partnership with master data management], and accessible at scale.
This is a high-impact opportunity for a technically grounded, people-first leader who thrives in a fast-paced environment and is energized by building scalable systems during a period of significant growth, including M&A integration and cloud transformation.
Responsibilities:
  • Leadership & Strategy
    • Define and drive the enterprise data engineering roadmap, aligned to business and technology goals
    • Build, lead, and mentor a multi-disciplinary team of data engineers (10-15) and product owner(s) (1-2)
    • Partner with the CIO, Analytics, AI, and business leadership to prioritize and deliver data capabilities
    • Establish engineering standards, best practices, and an operational excellence framework across the data organization
    • Champion a culture of data quality, engineering rigor, and continuous improvement
  • Platform & Architecture
    • Architect and oversee scalable data pipelines, data lakes, warehouses, and real-time streaming infrastructure
    • Lead cloud-native data platform strategy and adoption across Azure, AWS, or GCP environments
    • Own the selection, implementation, and lifecycle management of data engineering tools and platforms
    • Ensure data platform reliability, performance, and cost efficiency at scale
    • Partner with Platform Development Architects and leadership on integration patterns across key enterprise systems, including ERP, ServiceNow, and supply chain platforms
  • Data Governance & Quality
    • Own and evolve the enterprise data governance framework, including data lineage, cataloging, and access controls
    • Define and enforce data quality standards, measurement, and remediation processes
    • Partner with Security and Legal to ensure compliance with data privacy regulations and policies
    • In partnership with the Director of Development and AI, drive adoption of clean, governed, AI-ready data as a core organizational asset.
  • Delivery & Operations
    • Manage team delivery across multiple concurrent programs, including integration workstreams from M&A activity
    • Lead data engineering support for AI/ML platform enablement
    • Oversee vendor relationships, contracts, and budget for data infrastructure and tooling
    • Establish SLAs, incident management, and monitoring for data platform operations

Basic Qualifications:
  • 12+ years of progressive experience in data engineering, data architecture, or a related technical discipline
  • 5+ years of people leadership experience, including managing and developing senior engineers and managers; Communication is a critical facet for this role with an ability to manage up, to the side or down.
  • Proven track record of architecting and delivering enterprise-scale data platforms in production
  • Deep expertise in modern data stack tooling (e.g., Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents)
  • Strong cloud data platform experience on Azure, AWS, or GCP
  • Demonstrated experience in data governance programs and data quality frameworks
  • Ability to translate complex business requirements into pragmatic technical strategy and roadmaps
  • Strong executive communication skills; comfortable presenting to C-suite and board-level audiences
  • Experience operating in dynamic, growth-stage environments, including M&A integration preferred
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's preferred

Preferred Qualifications:
  • Experience in IT services, managed services, or enterprise technology industries
  • Familiarity with ERP, ServiceNow, or supply chain data ecosystems
  • Experience leading data strategy and integration through M&A events
  • Exposure to data mesh, data product, or federated governance models
  • Relevant certifications in cloud data platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)
  • A strategic mindset paired with a bias for action and hands-on delivery
  • Passion for building reliable, scalable, and well-governed data systems
  • A collaborative and inclusive leadership style with the ability to influence across levels
  • Intellectual curiosity and a continuous improvement mindset
  • High standards for data quality and a commitment to engineering excellence

Travel:
  • 15%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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