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Director Data Engineering Jobs in Ohio (NOW HIRING)

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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 · 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 · 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 ...

The LaSalle Group

Manager of Data Engineering

Columbus, OH · On-site

$140K - $160K/yr

Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data ... LaSalle Network is the leading provider of direct hire and temporary staffing services. For over ...

Vaco by Highspring

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

Direct Hire (W-2) Location: Hybrid - 3 days/week in-person in Columbus, Ohio office Reports To ... Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines ...

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

... Director Application Services and serve as the hands-on technical owner of National Church ... As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable ...

National Church Residences

Azure Data Engineer

Dublin, OH · On-site

$110K - $132K/yr

... Director Application Services and serve as the hands-on technical owner of National Church ... As an individual contributor and Data Engineering owner, you play a key role in shaping a scalable ...

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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 Aug 27, 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 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 as a director of data engineering?

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 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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $185,109 per year, or $89 per hour.

Director, Data Engineering

Core Specialty

Cincinnati, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

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We are looking for a Director, Data Engineering, to lead the continued optimization and maturation of our existing large-scale data platform. This is hands-on technical leadership role: roughly 60% of your time will be spent as a working solution architect - improving, rearchitecting, and scaling data pipelines, infrastructure, and models that power the business. The remaining 40% will be focused on strategic alignment, technical direction, and resource management for the Data Engineering team. A key part of the mandate is ensuring the platform remains AI/ML ready as it scales - well modeled and well governed so that advanced analytics teams can reliably and efficiently access high-quality data.

Reporting to the VP-Data Engineering, AI & ML, you will lead a team of Data Engineers - setting the technical execution direction while staying close enough to the architecture and code to guide hard decision, unblock the team, and ensure the platform continues to scale reliably and security as usage and AI/ML initiatives grow.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.

Key Accountabilities/Deliverables:

Solution Architecture & Hands-On Delivery

  • Own the technical evolution of our existing large-scale data platform, identifying and riving improvements to architecture, performance and scalability data volume and complexity use cases grow

  • Act as the lead solution architect for data engineering initiatives

  • Personally design, prototype, and development of frameworks and critical platform components - especially for high-risk/high complexity initiatives

  • Have a forward-thinking posture as it comes to creating an AI/ML ready data platform

  • Participate in the evaluation, selection and implementation of data platform tooling (i.e. - storage, orchestration, compute, streaming)

  • Reinforce existing data observability solutions/standards across pipelines and the platform

  • Diagnose and resolve complex production issues/technical debt across the data platform - partnering directly with other engineers to resolve.

Strategy, Technical Direction & Resource Management

  • Partner with VP-Data Engineering, AI & ML to define and execute the roadmap for a fully optimized and scalable data platform - ensuring alignment to broader company and data strategies including AI/ML readiness assessments

  • Set technical direction and architectural standards for the team by working closely with Enterprise Architecture

  • Manage, mentor, and develop data engineers

  • Participate in resource planning and prioritization across the team's product roadmap - balancing business requests with platform-based initiatives

  • Represent Data Engineering planning, budgeting, and resource management discussions as needed

  • Stay current with emerging trends in data engineering and data platform architecture - brining innovations into continued data maturity for the organization.


Technical Knowledge and Understanding:

Technical Knowledge

  • Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks

  • Platforms: Hands on experience with Snowflake or Databricks (experience in an architecture role with these platforms is a plus), Azure Synapse Analytics/MS Fabric

  • Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse architectures (Delta Lake, Iceberg)

  • Working familiarity with AI/ML data requirements and tooling to support AI/ML enablement

  • Strong working proficiency with at least two programming languages (Python, Scala, SQL)

  • Solid understanding of data governance, security, and compliance practices in a regulated or enterprise environment

  • Experience with IAC and CI/CD practices for data systems (i.e. Terraform, GitHub Actions)

Leadership & Soft Skills

  • Proven ability to set technical direction while remaining hands-on and credible at the architecture and code level

  • Strong stakeholder management skills - the ability to translate between technical and non-technical audiences

  • Excellent prioritization and resource management skills across competing technical and business demands

  • A coaching mindset with genuine investment in growing the technical and soft skills of direct reports


Requirements:

  • Bachelor Degree in Computer Science or related field or equivalent work experience.

  • 10+ years experience in data engineering with significant experience in optimizing, scaling, and evolving large-scale mature data platforms

  • 3+ years in an architect role (Solution, Enterprise, Data, Platform) with direct ownership of solution designs

  • 3+ years in a leadership role managing data engineering teams - including direct people management responsibilities

  • Working knowledge of how data platforms enable AI/ML solutions

  • Track record of balancing hands-on technical delivery with people leadership and strategic planning

Nice to Have

  • Experience designing or implementing Agentic workflows for data engineering

  • Experience working with Property & Casualty insurance carriers

  • Experience with Data Vault 2.0 or Ensemble data modeling techniques


#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program

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