Senior Data Center Design Manager, Data Center Engineering at Amazon

📍 Job Overview

Job Title: Senior Data Center Design Manager, Data Center Engineering Company: Amazon Location: Mumbai, Maharashtra, India Job Type: Full-Time Category: Data Center Engineering & Operations Date Posted: August 18, 2025 Experience Level: 10+ Years Remote Status: On-site

🚀 Role Summary

Lead and manage the end-to-end design process for critical data center infrastructure systems, ensuring alignment with AWS's global standards and customer needs.
Drive strategic process improvements and tool optimization initiatives to enhance design delivery efficiency, cost-effectiveness, and quality across the APAC region.
Collaborate extensively with a diverse global team of engineers, consultants, internal customers, and regulatory bodies to mitigate risks, resolve design challenges, and achieve project milestones.
Develop and manage capital project design budgets, contribute to complex business cases, and secure funding by working closely with AWS finance teams.
Oversee document control workflows, audit deliverables, and manage stakeholder coordination from due diligence through to construction and operations phases.

📝 Enhancement Note: This role is positioned within AWS Infrastructure Services, a critical arm of Amazon Web Services responsible for the global cloud infrastructure. The "Senior Data Center Design Manager" title, coupled with the responsibilities, indicates a leadership position focused on the strategic and operational aspects of data center design, with a strong emphasis on process, budget, and cross-functional collaboration. The role requires not only technical design understanding but also robust project management, financial acumen, and stakeholder management skills within a fast-paced, large-scale operational environment.

📈 Primary Responsibilities

Lead and mentor a team of engineers in the design and development of data center critical infrastructure systems, ensuring adherence to safety, security, and cost-efficiency standards.
Facilitate and drive weekly design review meetings with internal engineering resources, business stakeholders, and external consultants to address design issues, track progress against milestones, and escalate critical path items.
Implement and champion process improvements and tool optimization strategies across the APAC region to streamline design delivery, reduce cycle times, and enhance overall project outcomes.
Develop, track, and report on key performance metrics (KPIs) related to design cost, quality, and duration, incorporating feedback from construction and commissioning teams.
Establish and manage capital project design budgets, collaborate with AWS finance teams to develop compelling business cases, and secure necessary project funding.
Influence design changes and resource allocation by partnering with AWS Engineering leads to align engineering efforts with evolving internal customer requirements and project demands.
Partner with internal customers to clearly define project scope, establish realistic schedules, agree upon deliverables, and manage expectations throughout the project lifecycle.
Manage the workflow of document controllers, ensuring the accuracy, completeness, and timely delivery of all design-related documentation and deliverables through rigorous auditing.
Oversee interfaces, coordinate with diverse stakeholders, and provide oversight from the initial due diligence phase through design, construction, and into the operational handover across the entire project lifecycle.
Drive the permit approval process by interfacing effectively with relevant Authorities Having Jurisdiction (AHJs), ensuring compliance with local regulations and building codes.

📝 Enhancement Note: The primary responsibilities highlight a blend of technical leadership, project management, and strategic planning. The emphasis on "driving process improvements, tool optimization, prepare monthly/quarterly business review reports across region" suggests a significant focus on operational excellence and continuous improvement within the design function. The requirement to manage design budgets, develop business cases, and collaborate with finance points to a need for financial literacy and strategic business partnering.

🎓 Skills & Qualifications

Education:

Bachelor's Degree in Engineering (Mechanical, Electrical, Civil, or related discipline) or Architecture.

Experience:

Minimum of 8 years of professional experience in project management or as a project lead, specifically including experience with RFQ/RFP processes, selecting and managing engineering teams, developing project budgets, coordinating multiple consultant teams, and facilitating complex meetings.
Minimum of 8 years of professional experience in data center or mission-critical facility design, demonstrating a foundational understanding of multidisciplinary systems (e.g., mechanical, electrical, controls), the design process, pre-construction requirements, and the construction process.
Direct experience in negotiating with regulatory agencies and Authorities Having Jurisdiction (AHJs) regarding departures from building codes and managing construction change orders.
Proven ability to communicate complex technical issues clearly and concisely to senior leadership and non-technical audiences, develop financial projections for business cases, and establish meaningful performance metrics.

Required Skills:

Strong Project Management capabilities with a track record of successfully managing complex, multi-disciplinary projects within scope, budget, and schedule.
Expertise in Data Center Design principles and critical infrastructure systems (e.g., power, cooling, networking, controls).
Proficient in Engineering principles and application within critical facility design.
Demonstrated experience in Budgeting and financial management for capital projects.
Excellent Collaboration and interpersonal skills for effective stakeholder management and team leadership.
Proven ability in Risk Mitigation, identifying potential issues and developing proactive solutions.
Commitment to Process Improvement and driving operational efficiency.
Skilled in Stakeholder Coordination across internal teams, external consultants, and regulatory bodies.
Solid understanding of Construction Management phases and requirements.
Experience in Regulatory Negotiation and compliance with building codes.
Ability to define and track Performance Metrics for design and project delivery.
Proficiency in Document Control workflows and deliverable auditing.
Knowledge of Building Codes and safety standards relevant to critical facilities.
Familiarity with Safety Standards in construction and operations.

Preferred Skills:

Professional Engineering (PE) or Architectural License.
10+ years of directly related experience in data center design, construction, operations, and/or facility maintenance.
Direct experience with delivering modular data center design projects, including procurement and commissioning.
Functional knowledge of industry standards, environmental codes, and building codes such as the International Building Code (IBC).
Working knowledge of project management and collaboration software, including BIM, Salesforce, Procore, and Smartsheet.

📝 Enhancement Note: The distinction between required and preferred qualifications suggests that while a strong foundation in project management and data center design is essential, candidates with professional licensure, extensive hands-on experience in data center operations, and familiarity with specific project management and BIM software will have a significant advantage. The emphasis on "collaboration with many facets of the AWS organization" and managing "stakeholders’ coordination" underscores the importance of strong communication and relationship-building skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

Showcase evidence of managing the full lifecycle of data center design projects, from initial concept and feasibility studies through detailed design, construction oversight, and commissioning.
Present case studies demonstrating successful cost management, including budget development, tracking, and optimization strategies that delivered projects within financial constraints.
Include examples of process improvements implemented in design workflows, highlighting how these changes led to measurable gains in efficiency, quality, or reduced project timelines.
Provide documentation or examples of stakeholder management strategies, illustrating how complex relationships were navigated and consensus was built among diverse groups (e.g., internal customers, vendors, regulatory bodies).
Demonstrate experience in developing and utilizing performance metrics (KPIs) to track design progress, identify bottlenecks, and report on project status and outcomes.

Process Documentation:

Examples of formal design process documentation, including standards, templates, and checklists used to ensure consistency and quality.
Documentation of workflow optimization efforts, such as implementing new tools, standardizing procedures, or improving collaboration protocols.
Evidence of creating and maintaining project documentation, including design reviews, meeting minutes, risk registers, and audit reports for deliverables.

📝 Enhancement Note: For this role, a portfolio is crucial for demonstrating practical application of design management principles in a data center context. Candidates should prepare to present specific projects that highlight their ability to manage budgets, improve processes, coordinate stakeholders, and deliver results in complex environments. The emphasis on APAC region improvements means highlighting any experience with regional design standards or regulatory nuances would be beneficial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Data Center Design Managers in Mumbai, India, with 8-10+ years of experience in a major metropolitan area, the estimated annual salary range is likely between ₹25,00,000 and ₹45,00,000 (Indian Rupees). This estimation considers the specialized nature of data center engineering, the leadership responsibilities, and Amazon's compensation philosophy for similar roles globally, adjusted for the local market.

Benefits:

Comprehensive health insurance coverage (medical, dental, vision) for employees and eligible dependents.
Retirement savings plan with company matching contributions.
Paid time off, including vacation days, sick leave, and public holidays, with potential for increased accrual based on tenure.
Opportunities for professional development, including training programs, certifications, and conference attendance related to data center engineering and project management.
Employee stock options or restricted stock units (RSUs), depending on the role and level, providing long-term equity ownership.
Access to Amazon's extensive internal learning resources and career development programs.
Relocation assistance may be available for candidates moving to Mumbai.
Potential for performance-based bonuses.

Working Hours: The standard working hours for this on-site role are typically 40 hours per week, Monday through Friday. However, given the critical nature of data center operations and project deadlines, occasional work outside of standard hours, including evenings and weekends, may be required to meet project milestones, address urgent issues, or support global team coordination.

📝 Enhancement Note: The salary range is an estimate based on publicly available compensation data for similar roles in Mumbai and the tech industry, adjusted for the seniority and specialization required. Amazon's benefits are generally competitive and comprehensive, often including significant equity components for leadership roles. The expectation of flexible working hours is common in project management and engineering roles, especially within a global infrastructure context.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing and Information Technology Services. Amazon Web Services (AWS) is a global leader, providing a vast array of scalable, reliable, and secure cloud computing services to businesses worldwide. Company Size: AWS is a division of Amazon, a multinational technology company. Amazon as a whole employs over 1.5 million people globally, with AWS itself being a significant and rapidly growing segment. This large scale means ample resources, complex organizational structures, and opportunities for impact across a broad spectrum. Founded: Amazon was founded in 1994 by Jeff Bezos. AWS was launched in 2006, pioneering the modern cloud computing market. This history signifies deep experience, continuous innovation, and a culture of leadership in the tech industry.

Team Structure:

The Data Center Engineering team is part of AWS Infrastructure Services, a large and specialized organization. The immediate team likely consists of various engineering disciplines (Structural, Mechanical, Electrical, Controls) and project managers.
This Senior Design Manager will be part of a global engineering leadership team, reporting into a higher-level director or VP responsible for APAC infrastructure design.
Collaboration is expected across multiple AWS teams, including Construction, Operations, Procurement, Finance, Capacity Planning, and internal business units (customers) who utilize the data center capacity.

Methodology:

Data-Driven Decision Making: AWS heavily relies on data analytics and metrics to inform decisions, optimize performance, and identify areas for improvement in all aspects of its operations, including data center design.
Customer Obsession: A core Amazon leadership principle, this means understanding and prioritizing the needs of internal AWS customers (the services and teams that rely on the infrastructure) to deliver optimal solutions.
Bias for Action & Ownership: Employees are encouraged to take initiative, own their projects from start to finish, and drive results rapidly, even in the face of ambiguity.
Innovation & Invention: The culture fosters continuous innovation to find new and better ways to deliver services, improve efficiency, and reduce costs.
Focus on Scale and Efficiency: Designs and processes must be scalable to meet AWS's massive global growth and optimized for cost-effectiveness.

Company Website: https://www.amazon.com/aws/

📝 Enhancement Note: Amazon's culture is renowned for its intensity, focus on customer obsession, and emphasis on data-driven decisions. For operations roles, this translates to a high-performance environment where efficiency, scalability, and continuous improvement are paramount. The sheer scale of AWS means that even minor process optimizations can have a massive impact. Understanding the "Leadership Principles" is critical for success.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Senior," indicating a leadership position with significant responsibility for managing complex projects, teams, and strategic initiatives. In the context of data center engineering, it signifies a mid-to-senior level management role, likely requiring over 8-10 years of progressive experience. The scope includes regional impact (APAC) and influence on future design protocols.

Reporting Structure: The Senior Data Center Design Manager will likely report to a Director or Senior Manager within AWS Infrastructure Services, potentially overseeing a team of Design Engineers and Project Managers. They will also have significant interaction and influence with various cross-functional leaders and internal stakeholders across AWS.

Operations Impact: This role has a direct and substantial impact on AWS's ability to deliver and scale its cloud services. Efficient, cost-effective, and timely data center designs are fundamental to AWS's capacity to innovate, serve customers, and maintain its market leadership. The manager's decisions influence capital expenditure, operational efficiency, and the reliability of the global cloud infrastructure.

Growth Opportunities:

Leadership Progression: Potential to advance to higher management roles, overseeing larger teams, broader regions, or more strategic design functions within AWS.
Specialization: Opportunity to deepen expertise in specific areas of data center design, such as advanced cooling technologies, power systems, automation, or modular construction.
Cross-Functional Mobility: Potential to move into related operational roles within AWS, such as Construction Management, Data Center Operations, or Program Management, leveraging a broad understanding of the infrastructure lifecycle.
Global Exposure: Opportunities to work on projects and collaborate with teams across different geographical regions, gaining international experience.
Mentorship and Training: Access to Amazon's extensive mentorship programs and continuous learning resources designed to foster leadership and technical skill development.

📝 Enhancement Note: Amazon is known for providing significant career growth opportunities for high performers. For a Senior Manager role, the trajectory typically involves moving into director-level positions with increasing strategic responsibility, potentially managing P&Ls or entire functional areas. The emphasis on "ownership" means individuals are empowered to drive their own career development.

🌐 Work Environment

Office Type: This is an on-site role, implying a presence within an Amazon corporate office or a dedicated project office environment. The specific setup will likely be a modern, collaborative workspace designed to support the demands of large-scale engineering and project management teams.

Office Location(s): The primary work location is Mumbai, Maharashtra, India. Amazon has significant office footprints in major Indian cities, including Mumbai, which serve as hubs for engineering, operations, and various business functions.

Workspace Context:

Collaborative Spaces: The environment will likely feature open-plan seating, meeting rooms, and project war rooms to facilitate seamless communication and collaboration among the design team and external partners.
Technology Integration: Expect access to high-performance computing resources, advanced visualization tools, and robust communication platforms essential for managing complex data center designs and global projects.
Team Interaction: Regular opportunities for direct interaction with a diverse team of engineers, project managers, and other stakeholders, fostering a dynamic and fast-paced work atmosphere.
Focus on Efficiency: Workspaces are likely designed to promote productivity and efficiency, with amenities and tools provided to support the demanding nature of the role.

Work Schedule: While the standard work week is typically Monday-Friday, the nature of global infrastructure management and project deadlines may necessitate flexibility. This could include attending meetings across different time zones, responding to urgent issues outside of core hours, or occasional travel to project sites or other Amazon facilities.

📝 Enhancement Note: The on-site requirement in Mumbai suggests a need for candidates comfortable with a structured office environment and the collaborative dynamics it enables. It also implies that while flexibility is valued, a consistent physical presence for team coordination and stakeholder engagement is expected.

📄 Application & Portfolio Review Process

Interview Process: The interview process for a Senior Data Center Design Manager at Amazon is typically rigorous and multi-stage, designed to assess technical expertise, leadership capabilities, and alignment with Amazon's Leadership Principles.

Recruiter Screen: An initial conversation with a recruiter to assess basic qualifications, interest in the role, and cultural fit.
Hiring Manager Interview: In-depth discussion with the hiring manager focusing on experience, project management skills, leadership style, and understanding of the role's responsibilities.
Technical/Team Interviews: Multiple interviews with peers, potential direct reports, and other engineering leaders. These often involve deep dives into technical design challenges, project scenarios, and problem-solving approaches. Expect questions related to data center systems, project execution, budget management, and risk mitigation.
Bar Raiser Interview: A dedicated interview conducted by an experienced Amazonian from outside the hiring team, focused on assessing candidates against Amazon's Leadership Principles and ensuring the candidate "raises the bar" for talent within the organization. This interview often uses behavioral questions.
Final Round/Executive Interview (Potentially): Depending on the level, there might be a final interview with a senior leader.

Portfolio Review Tips:

Structure for Impact: Organize your portfolio by project, clearly outlining the challenge, your role, the solutions implemented, and the measurable results achieved. Use a STAR (Situation, Task, Action, Result) or SOAR (Situation, Obstacle, Action, Result) method where applicable.
Quantify Achievements: For each project, provide specific data and metrics to demonstrate your impact. Examples include cost savings achieved, schedule improvements, efficiency gains (e.g., PUE improvements), reduction in design errors, or successful regulatory approvals.
Highlight Process Improvement: Showcase specific examples of how you identified inefficiencies in design processes and implemented solutions that led to tangible improvements. Detail the methodology used for process optimization.
Demonstrate Leadership & Collaboration: Include examples of how you led teams, managed stakeholders, resolved conflicts, and fostered collaborative environments.
Technical Depth: Be prepared to discuss the technical intricacies of your projects, including specific design choices, trade-offs considered, and the underlying engineering principles.
Tailor to the Role: Emphasize projects and experiences most relevant to data center design, critical infrastructure, project management, budgeting, and regional (APAC) considerations.

Challenge Preparation:

Behavioral Questions: Prepare specific examples from your past experience that demonstrate each of Amazon's Leadership Principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep, Insist on the Highest Standards, etc.). Use the STAR method for structuring your answers.
Technical Scenarios: Anticipate questions about hypothetical data center design challenges, project escalations, budget overruns, or stakeholder conflicts. Think about how you would approach diagnosing issues, proposing solutions, and executing them.
Process Improvement Case Studies: Be ready to walk through a detailed example of a process you improved, explaining the "before" state, the "after" state, and the impact.
Financial Acumen: Prepare to discuss project budgets, financial modeling, business case development, and how you manage financial aspects of large projects.
Regulatory Compliance: Have examples of navigating building codes, permits, and regulatory agency interactions.

📝 Enhancement Note: Amazon's interview process is heavily focused on behavioral questions tied to their Leadership Principles. Candidates must be prepared to provide concrete examples from their experience that illustrate these principles in action. The portfolio review is a critical component, serving as tangible evidence of past performance and capabilities.

🛠 Tools & Technology Stack

Primary Tools:

Project Management Software: Experience with tools like Smartsheet, Microsoft Project, Asana, or similar platforms for project planning, scheduling, and tracking.
Collaboration Platforms: Proficiency in tools like Microsoft Teams, Slack, Zoom, or Amazon's internal collaboration tools for communication and virtual meetings.
Document Management Systems: Familiarity with systems for organizing, versioning, and auditing project documentation.
Building Information Modeling (BIM) Software: Working knowledge of BIM platforms (e.g., Autodesk Revit, Navisworks) is highly preferred for visualizing and coordinating complex designs.
CRM Software: Experience with Salesforce is listed as preferred, indicating its use in managing relationships with external consultants, vendors, or internal stakeholders.

Analytics & Reporting:

Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data analysis, financial modeling, and report generation.
Business Intelligence (BI) Tools: Familiarity with tools like Tableau, Power BI, or Amazon QuickSight for creating dashboards and visualizing performance metrics is beneficial.
Data Analysis: Ability to analyze project data to identify trends, risks, and opportunities for optimization.

CRM & Automation:

CRM Software: As mentioned, Salesforce is a preferred tool, likely used for managing external relationships and project-related data.
Workflow Automation: Experience with or understanding of workflow automation principles to streamline design processes and administrative tasks.
Integration Concepts: Understanding how different systems (e.g., design tools, project management, financial systems) integrate to provide a cohesive project management experience.

📝 Enhancement Note: The explicit mention of BIM, Salesforce, Procore, and Smartsheet in the preferred qualifications indicates that candidates with hands-on experience with these specific tools will be highly competitive. Understanding how these tools facilitate collaboration, data management, and process efficiency in a large-scale engineering environment is key.

👥 Team Culture & Values

Operations Values:

Customer Obsession: Every decision and action should be driven by the needs of AWS customers. This means ensuring data centers are designed for reliability, scalability, and cost-efficiency to support AWS services.
Ownership: Taking full responsibility for projects, outcomes, and continuous improvement. This includes proactively identifying and addressing issues rather than waiting for direction.
Bias for Action: Moving quickly and decisively to solve problems and deliver results, even when faced with incomplete information.
Dive Deep: Thoroughly analyzing situations, understanding root causes, and making informed decisions based on data and facts.
Insist on the Highest Standards: Maintaining a commitment to excellence in all aspects of design, project management, and execution.
Invent and Simplify: Continuously seeking innovative ways to improve processes, reduce complexity, and enhance efficiency in data center design and delivery.

Collaboration Style:

Cross-Functional Integration: Expect to work closely with diverse teams across AWS, including construction, operations, procurement, finance, and product teams. Effective communication and relationship-building are crucial.
Data-Driven Discussions: Collaboration is often centered around data analysis, performance metrics, and objective evidence to drive consensus and decision-making.
Feedback Culture: A willingness to give and receive constructive feedback is integral to continuous improvement and maintaining high standards.
Knowledge Sharing: Encouraging the sharing of best practices, lessons learned, and technical expertise across teams to foster collective growth and efficiency.

📝 Enhancement Note: Amazon's culture is heavily defined by its Leadership Principles. Understanding how these principles translate into daily work, decision-making, and team interactions is paramount for success in this role. The emphasis on collaboration and data-driven discussions means a candidate must be both technically proficient and adept at interpersonal communication.

⚡ Challenges & Growth Opportunities

Challenges:

Managing Scale and Complexity: Overseeing the design of massive, complex data centers across the dynamic APAC region presents significant logistical and technical challenges.
Rapid Pace of Innovation: AWS is constantly evolving its infrastructure and services, requiring design managers to adapt quickly to new technologies, requirements, and standards.
Balancing Cost, Quality, and Schedule: Effectively managing the trade-offs between budget constraints, high-quality design, and aggressive delivery timelines is a constant challenge.
Navigating Regional Nuances: Understanding and complying with diverse regulatory environments, building codes, and local supply chain dynamics across the APAC region requires significant diligence.
Stakeholder Alignment: Coordinating and aligning the needs and expectations of numerous internal and external stakeholders can be complex and demanding.

Learning & Development Opportunities:

Advanced Technical Training: Access to specialized training in cutting-edge data center technologies, sustainable design practices, and advanced engineering principles.
Leadership Development Programs: Participation in Amazon's leadership development initiatives to enhance management, strategic thinking, and team-building skills.
Industry Certifications: Support for obtaining relevant professional certifications (e.g., PMP, LEED, specific engineering licenses) to enhance expertise.
Mentorship: Opportunities to learn from and be mentored by senior leaders within AWS Infrastructure Services, gaining insights into strategic decision-making and career progression.
Exposure to Global Best Practices: Working within a global team provides exposure to diverse approaches and best practices in data center design and operations from around the world.

📝 Enhancement Note: The challenges presented are inherent to working in a high-growth, globally distributed technology infrastructure company. The growth opportunities are substantial, reflecting Amazon's commitment to employee development and internal mobility. Candidates who embrace challenges and actively seek learning will find significant career advancement potential.

💡 Interview Preparation

Strategy Questions:

Operations Strategy: "Describe how you would develop a strategic roadmap for data center design improvements across the APAC region. What key factors would you consider, and how would you prioritize initiatives?" (Focus: Strategic planning, regional understanding, process optimization).
Stakeholder Management: "Walk me through a complex project where you had to manage conflicting stakeholder requirements. How did you identify their needs, facilitate communication, and reach a consensus that met project objectives?" (Focus: Collaboration, communication, problem-solving).
Problem-Solving & Efficiency: "Imagine a situation where a critical design phase is significantly behind schedule and over budget. How would you diagnose the root cause, what immediate actions would you take, and what long-term process changes would you implement to prevent recurrence?" (Focus: Analytical skills, decision-making, process improvement).

Company & Culture Questions:

Leadership Principles: "Tell me about a time you demonstrated 'Ownership' in a challenging project." or "Describe a situation where you had to 'Insist on the Highest Standards' despite pressure to compromise." (Prepare multiple examples for each principle).
Team Dynamics: "How do you foster a collaborative and high-performing environment within an engineering team? Provide an example of how you've motivated a team to achieve a difficult goal." (Focus: Leadership, team building, motivation).
Impact Measurement: "How do you measure the success of your design projects beyond just meeting schedule and budget? What metrics do you track to demonstrate value and impact on AWS operations?" (Focus: Metrics, data analysis, ROI).

Portfolio Presentation Strategy:

Concise Storytelling: For each project in your portfolio, prepare a brief, compelling narrative that covers the challenge, your specific actions, and the quantifiable results.
Visual Aids: Use clear, professional slides or documents to showcase key data, design elements, and process flows. Highlight metrics prominently.
Focus on 'Why' and 'How': Don't just present what you did; explain why you made certain decisions and how you arrived at your solutions. This demonstrates critical thinking.
Address Regional Context: If possible, use examples that demonstrate your understanding of or experience with regional design considerations, regulations, or market specifics within APAC.
Interactive Discussion: Be prepared for follow-up questions that probe deeper into your experience, decision-making process, and technical knowledge. Treat it as a collaborative discussion.

📝 Enhancement Note: Amazon interviews are designed to be challenging and thorough. Preparing specific, data-backed examples that align with the Leadership Principles and the core responsibilities of the role is essential. Practicing the delivery of these examples, especially within a portfolio context, will significantly improve your chances.

📌 Application Steps

To apply for this operations position:

Submit your application through the official Amazon Jobs portal.
Customize Your Resume: Tailor your resume to highlight experience directly relevant to data center design management, project leadership, budget control, cross-functional collaboration, and process improvement. Use keywords from the job description, such as "Data Center Design," "Project Management," "Budgeting," "Stakeholder Coordination," and "Process Improvement." Quantify your achievements with specific data points wherever possible.
Prepare Your Portfolio: Assemble a comprehensive portfolio showcasing your most impactful data center design projects. Ensure it includes clear examples of budget management, process optimization, stakeholder engagement, and measurable results. Be ready to present this during interviews.
Research Amazon & AWS: Thoroughly understand Amazon's Leadership Principles, AWS's mission, and the company's approach to infrastructure services. Familiarize yourself with their culture and values.
Practice Behavioral Answers: Prepare detailed responses using the STAR method for potential interview questions related to Amazon's Leadership Principles, technical challenges, and project management scenarios.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Data Center Design Manager, Data Center Engineering