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Datacenter Jobs in Columbus, OH (NOW HIRING)

Deloitte

AI Datacenter Associate VP

Columbus, OH · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You ...

E-Solutions

Data Center Technicians

New Albany, OH · Hybrid

$90/hr

Datacenter Technician Location: New Albany, OH Rate:3-5 years $90-110k, Senior/Shift Lead $100-130k Shifts: Morning, Day, Evening Note: We are supporting the clien Role: Datacenter Technician ...

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Datacenter information

See Columbus, OH salary details

$48.4K

$138.5K

$185K

How much do datacenter jobs pay per year?

As of Jun 15, 2026, the average yearly pay for datacenter in Columbus, OH is $138,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $184,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in a datacenter environment?

Working in a datacenter often involves managing high-stakes situations such as unexpected hardware failures, power outages, and maintaining strict uptime requirements. Professionals must be prepared to troubleshoot technical issues quickly and efficiently, sometimes outside of standard business hours. Additionally, adhering to rigorous security and compliance protocols is essential, as datacenters handle sensitive data for organizations. Teamwork and clear communication with network engineers, security specialists, and facility managers are crucial for keeping operations smooth and minimizing downtime.

What type of jobs are at a data center?

Jobs at a data center include roles such as data center technician, network engineer, systems administrator, and facilities manager. These positions involve maintaining hardware, managing network infrastructure, ensuring security, and supporting power and cooling systems, often requiring technical skills and certifications like CompTIA or Cisco. Work environments are typically 24/7, with shifts to ensure continuous operation.

What is a datacenter?

A datacenter is a specialized facility that houses computer systems, servers, networking equipment, and storage infrastructure. These centers provide centralized locations for the collection, storage, management, and dissemination of data and applications. Datacenters are critical for supporting the IT operations of businesses, organizations, and online services, ensuring high availability, security, and reliability. They often have advanced cooling, power backup, and physical security systems to protect the equipment and data. Companies may operate their own datacenters or use third-party providers for colocation or cloud services.

What jobs pay $500,000 a year in the US?

In the datacenter industry, high-paying roles such as senior executive positions (e.g., Chief Technology Officer or Vice President of Data Center Operations) can reach or exceed $500,000 annually, especially with bonuses and stock options. These roles typically require extensive experience, advanced technical skills, and leadership responsibilities. Most other technical or operational roles in data centers tend to have lower compensation levels.

What are the key skills and qualifications needed to thrive as a Data Center Technician, and why are they important?

To thrive as a Data Center Technician, you need strong knowledge of computer hardware, networking, and power/cooling systems, often supported by an associate degree or relevant certifications like CompTIA Server+. Familiarity with data center infrastructure management (DCIM) tools, ticketing systems, and remote monitoring platforms is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills for diagnosing issues and collaborating with technical teams. These skills and qualifications are important to ensure uptime, maintain security, and support the reliable operation of mission-critical IT infrastructure.

What profession makes $400,000 a year?

In the datacenter industry, high-level roles such as senior data center executives, chief technology officers, or specialized consultants can earn $400,000 or more annually. These positions typically require extensive experience, advanced certifications, and leadership responsibilities within large organizations or enterprise environments.

What jobs pay $10,000 a month without a degree?

In data center roles, high-paying positions such as senior network engineers, systems architects, or specialized technicians can earn $10,000 or more monthly, often requiring extensive experience, technical skills, and certifications like Cisco or CompTIA. These roles typically involve managing complex infrastructure, troubleshooting, and optimizing data center operations without necessarily requiring a college degree.
What are the most commonly searched types of Datacenter jobs in Columbus, OH? The most popular types of Datacenter jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Datacenter jobs? Cities near Columbus, OH with the most Datacenter job openings:
Datacenter jobs near you
Infographic showing various Datacenter job openings in Columbus, OH as of June 2026, with employment types broken down into 80% Full Time, 7% Temporary, and 13% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $138,507 per year, or $66.6 per hour.
AI Datacenter Associate VP

AI Datacenter Associate VP

Deloitte

Columbus, OH • Hybrid

Other

Posted 20 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

AI Datacenter & Infrastructure Associate VP

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/26/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.
 
Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.
  • Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable solutions.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

AI Datacenter & Infrastructure Associate VP

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/26/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.
 
Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.
  • Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable ...

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