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$51.5K

$147.5K

$197K

How much do datacenter marketing jobs pay per year?

As of Jun 7, 2026, the average yearly pay for datacenter marketing in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is datacenter marketing?

Datacenter marketing involves promoting the services, capabilities, and technologies of a data center to potential clients and partners. This can include developing marketing strategies, creating content about infrastructure and security, and highlighting differentiators like energy efficiency, compliance, or scalability. Professionals in this field work closely with sales, engineering, and product teams to showcase the value and reliability of the data center. The goal is to attract new customers, build brand reputation, and support business growth in the competitive data center industry.

What are the key skills and qualifications needed to thrive in Datacenter Marketing, and why are they important?

To thrive in Datacenter Marketing, you need a strong background in B2B marketing, data center technologies, and market analysis, typically supported by a degree in marketing, business, or a related technical field. Familiarity with CRM platforms, marketing automation tools, and analytics systems is commonly required, along with certifications such as HubSpot or Google Analytics. Exceptional communication, strategic thinking, and project management skills help professionals stand out in this role. These capabilities are essential for effectively positioning datacenter solutions, engaging target audiences, and driving business growth in a highly competitive and technical market.

What is the difference between Datacenter Marketing vs Data Center Sales?

AspectDatacenter MarketingData Center Sales
Primary FocusPromoting datacenter services and brand awarenessGenerating sales and closing deals for datacenter solutions
Required SkillsMarketing strategies, digital marketing, brandingSales techniques, client relationship management
Work EnvironmentMarketing departments, creative teamsSales teams, client sites
Common CertificationsMarketing certifications, digital marketing credentialsSales certifications, technical knowledge

While both roles operate within the datacenter industry, Datacenter Marketing focuses on promoting services and building brand awareness, whereas Data Center Sales concentrates on closing deals and generating revenue. Understanding these differences helps organizations align their strategies and professionals choose the right career path.

What are some common challenges faced by professionals in Datacenter Marketing, and how can they be addressed?

Professionals in Datacenter Marketing often encounter challenges such as explaining complex technical concepts to non-technical audiences, differentiating their offerings in a crowded market, and keeping up with rapid technological advancements. To address these, marketers must develop strong communication skills, work closely with technical teams to understand product nuances, and engage in continuous learning about emerging industry trends. Collaboration with sales, product management, and engineering teams is key to creating effective messaging and campaigns that resonate with target customers.
Infographic showing various Datacenter Marketing job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Temporary. Highlights an 83% In-person, 5% Hybrid, and 12% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.
AI Datacenter & Integrated Infrastructure Engineer III

AI Datacenter & Integrated Infrastructure Engineer III

Deloitte

Pittsburgh, PA • Hybrid

$104K - $136K/yr

Other

Posted 13 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 Cloud Integrated Infra Engineer III

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 6/26/2026.

Work you'll do

  • Design, implement, and optimize AI-driven datacenter solutions: Collaborate with clients to architect infrastructure that supports scalable, high-performance AI workloads, leveraging both cloud and on-premises technologies.
  • Lead project delivery and solution deployment: Oversee end-to-end project management for infrastructure transformations, ensuring milestones and deliverables align with client objectives and timelines.
  • Advise clients and project leadership on AI infrastructure best practices: Provide guidance on architecture choices, data management, systems integration, and emerging technologies to enable high-availability, secure, and cost-effective environments.
  • Conduct assessments and develop roadmaps: Evaluate existing datacenter infrastructures and hosting landscapes, identify opportunities for modernization or automation, and develop actionable plans for migration or enhancement.
  • Collaborate across disciplines: Partner with data scientists, cloud architects, cybersecurity experts, and client stakeholders to integrate AI capabilities into broader IT landscapes.
  • Demonstrate technical leadership: Facilitate knowledge sharing and contribute to the development of reusable solution assets and accelerators.
  • Stay ahead of trends: Continuously develop your expertise in AI, edge computing, hybrid cloud strategies, and automation tools to bring cutting-edge insights to our clients.
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

  • 4+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 3+ 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
  • 5+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 5+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 2+ years 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.
  • 3+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree 
  • 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

  • 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.
  • Presentation skills with a high degree of comfort with both large and small audiences, including executives
  • 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 $116,200 to $229,100. 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 Cloud Integrated Infra Engineer III

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 6/26/2026.

Work you'll do

  • Design, implement, and optimize AI-driven datacenter solutions: Collaborate with clients to architect infrastructure that supports scalable, high-performance AI workloads, leveraging both cloud and on-premises technologies.
  • Lead project delivery and solution deployment: Oversee end-to-end project management for infrastructure transformations, ensuring milestones and deliverables align with client objectives and timelines.
  • Advise clients and project leadership on AI infrastructure best practices: Provide guidance on architecture choices, data management, systems integration, and emerging technologies to enable high-availability, secure, and cost-effective environments.
  • Conduct assessments and develop roadmaps: Evaluate existing datacenter infrastructures and hosting landscapes, identify opportunities for modernization or automation, and develop actionable plans for migration or enhancement.
  • Collaborate across disciplines: Partner with data scientists, cloud architects, cybersecurity experts, and client stakeholders to integrate AI capabilities into broader IT landscapes.
  • Demonstrate technical leadership: Facilitate knowledge sharing and contribute to the development of reusable solution assets and accelerators.
  • Stay ahead of trends: Continuously develop your expertise in AI, edge computing, hybrid cloud strategies, and automation tools to bring cutting-edge insights to our clients.
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

  • 4+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 3+ 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
  • 5+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 5+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 2+ years 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.
  • 3+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree 
  • 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

  • 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.
  • Presentation skills with a high degree of comfort with both large and small audiences, including executives
  • 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 $116,200 to $229,100. 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.

Education:Bachelor's DegreeEmployment Type:

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