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Director Performance Engineering Jobs in Ohio (NOW HIRING)

Core Specialty

Director, Data Engineering

Cincinnati, OH · On-site

- We are looking for a Director, Data Engineering, to lead the continued optimization and maturation ... performance and scalability data volume and complexity use cases grow * Act as the lead solution ...

DHL

Lead Performance Engineer OE

Westerville, OH · On-site

$85K - $150K/yr

CI/Re-Engineering team (Operations Excellence) * Work with internal and external customers to ... Coaching the Operations Process Leader and Regional Operations Directors to conduct regular ...

DPDHL

Lead Performance Engineer OE

Westerville, OH · On-site

$85K - $150K/yr

CI/Re-Engineering team (Operations Excellence) * Work with internal and external customers to ... Coaching the Operations Process Leader and Regional Operations Directors to conduct regular ...

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Director Performance Engineering information

What does a director of performance engineering do?

A Director of Performance Engineering leads teams responsible for ensuring that software, systems, or applications perform optimally and efficiently at scale. They set performance goals, develop testing strategies, and oversee the identification and resolution of bottlenecks. This role involves collaborating with engineering, operations, and product teams to build robust, high-performing solutions. Additionally, they provide technical leadership, mentor team members, and define best practices for performance testing and monitoring.

What are the key skills and qualifications needed to thrive as a director of performance engineering?

To thrive as a Director of Performance Engineering, you need deep expertise in software performance optimization, systems architecture, and a strong background in computer science or a related field, often with advanced degrees or equivalent experience. Familiarity with performance testing tools (such as JMeter, LoadRunner), monitoring platforms (like New Relic, Dynatrace), and cloud infrastructure is typically required, along with certifications in relevant technologies. Exceptional leadership, cross-functional collaboration, and strategic problem-solving abilities make candidates stand out in this role. These skills are crucial for driving high-performing teams, ensuring system reliability, and delivering scalable solutions that support business objectives.

How does a director of performance engineering typically collaborate with cross-functional teams to drive system optimization?

A Director of Performance Engineering frequently works closely with software development, operations, and product teams to identify performance bottlenecks and implement solutions. They lead performance reviews, set benchmarks, and coordinate testing strategies to ensure systems meet business requirements. Regular communication and joint troubleshooting sessions are common, as the role requires balancing technical needs with business priorities. This collaborative approach helps ensure that performance goals are aligned across the organization and that issues are resolved efficiently.

What is the difference between Director Performance Engineering vs Performance Engineer?

AspectDirector Performance EngineeringPerformance Engineer
ResponsibilitiesOversees performance testing strategies, manages teams, and aligns performance goals with business objectives.Conducts performance testing, analyzes system performance, and reports findings to improve application efficiency.
Required SkillsLeadership, project management, advanced performance testing expertise, and strategic planning.Technical performance testing skills, scripting, and performance analysis.
Work EnvironmentSenior management, cross-functional teams, strategic planning sessions.Technical teams, testing labs, development environments.

The main difference is that the Director Performance Engineering leads and strategizes performance initiatives at an organizational level, while the Performance Engineer focuses on executing performance tests and analyzing system performance. The director role involves leadership and planning, whereas the performance engineer role is more technical and hands-on.

What are the most commonly searched types of Performance Engineering jobs in Ohio?

The most popular types of Performance Engineering jobs in Ohio are:

What are popular job titles related to Director Performance Engineering jobs in Ohio?

For Director Performance Engineering jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Director Performance Engineering jobs in Ohio look for?

The top searched job categories for Director Performance Engineering jobs in Ohio are:

What cities in Ohio are hiring for Director Performance Engineering jobs?

Cities in Ohio with the most Director Performance Engineering job openings:

Director Performance Engineering jobs near you

Director, Data Engineering

Core Specialty

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 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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