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Data Center Domain Analyst
LinkedIn Corporation
India₹30,000–₹90,000/mo≈ AED 1.3K-4.0K/moToday
IndiaSQLData ModelingBI ToolsPower Cooling SystemsServer Fleet Lifecycle ManagementCapacity Modeling ForecastingInfrastructure Demand PlanningFull Time
Skills Required
SqlErp
Job Description
Job Description As a highly experienced Data Center Domain Analyst, your role will involve deep subject matter expertise in hyperscale or enterprise data center environments. You will operate at the intersection of data center operations, fleet optimization, private cloud capacity planning, infrastructure scaling, and analytics-driven decision intelligence. Your primary responsibility will be to enable data-backed optimization of infrastructure assets across regions, ensuring scalability, efficiency, resiliency, and sustainability of data center operations.
Key Responsibilities:
- Utilize your 7+ years of experience in data center operations, infrastructure strategy, or capacity planning.
- Apply your expertise in hyperscale, colocation, or enterprise data center environments.
- Demonstrate a deep understanding of power & cooling systems, server fleet lifecycle management, capacity modeling & forecasting, and infrastructure demand planning.
- Utilize strong analytical capabilities, with proficiency in SQL, data modeling, and BI tools preferred.
- Collaborate effectively with engineering and operations teams to drive cross-functional initiatives.
Qualifications Required:
- 7+ years of experience in data center operations, infrastructure strategy, or capacity planning.
- Experience working in hyperscale, colocation, or enterprise data center environments.
- Deep understanding of power & cooling systems, server fleet lifecycle management, capacity modeling & forecasting, and infrastructure demand planning.
- Strong analytical capabilities with proficiency in SQL, data modeling, and BI tools.
- Experience working cross-functionally with engineering and operations teams.
Additional Details:
The preferred qualifications for this role include experience in fleet decision intelligence or infrastructure analytics teams, exposure to private cloud and hybrid cloud environments, familiarity with multi-region infrastructure scaling, and experience supporting automation or AI-enabled operational systems. As a highly experienced Data Center Domain Analyst, your role will involve deep subject matter expertise in hyperscale or enterprise data center environments. You will operate at the intersection of data center operations, fleet optimization, private cloud capacity planning, infrastructure scaling, and analytics-driven decision intelligence. Your primary responsibility will be to enable data-backed optimization of infrastructure assets across regions, ensuring scalability, efficiency, resiliency, and sustainability of data center operations.
Key Responsibilities:
- Utilize your 7+ years of experience in data center operations, infrastructure strategy, or capacity planning.
- Apply your expertise in hyperscale, colocation, or enterprise data center environments.
- Demonstrate a deep understanding of power & cooling systems, server fleet lifecycle management, capacity modeling & forecasting, and infrastructure demand planning.
- Utilize strong analytical capabilities, with proficiency in SQL, data modeling, and BI tools preferred.
- Collaborate effectively with engineering and operations teams to drive cross-functional initiatives.
Qualifications Required:
- 7+ years of experience in data center operations, infrastructure strategy, or capacity planning.
- Experience working in hyperscale, colocation, or enterprise data center environments.
- Deep understanding of power & cooling systems, server fleet lifecycle management, capacity modeling & forecasting, and infrastructure demand planning.
- Strong analytical capabilities with proficiency in SQL, data modeling, and BI tools.
- Experience working cross-functionally with engineering and operations teams.
Additional Details:
The preferred qualifications for this role include experience in fleet decision intelligence or infrastructure analytics teams, exposure to private cloud and hybrid cloud environments, familiarity with multi-region infrastructure scaling, and experience supporting automation or AI-enabled operational systems.