DC Design Manager for Region (AMER), Data Center Engineering

Amazon
Full-time$117k-160k/year (USD)Columbus, United States

📍 Job Overview

Job Title: DC Design Manager for Region (AMER), Data Center Engineering

Company: Amazon Web Services (AWS)

Location: Columbus, Ohio, United States | Seattle, Washington, United States

Job Type: Full-time

Category: Data Center Engineering Operations / Design Management

Date Posted: May 13, 2026

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

  • Lead regional data center design initiatives for the Americas (AMER) region, ensuring global consistency and high-quality standards.

  • Drive innovation and efficiency in data center design processes through automation, standardization, and best practice implementation.

  • Manage cross-functional project teams, including architects, structural, civil, mechanical, electrical, and security engineers, to deliver complex infrastructure projects.

  • Collaborate with internal stakeholders, operations teams, external consultants, and regulatory agencies to influence design direction and manage escalations.

  • Develop and implement design procedures and protocols to support the development of future data center systems and maintain a fast pace of delivery.

📝 Enhancement Note: This role is crucial for the operational backbone of AWS. The "Design Manager" title, coupled with responsibilities for leading engineering teams and self-performing engineering, indicates a strong focus on technical execution and process optimization within a large-scale infrastructure environment. The emphasis on global consistency, speed, and cost-effectiveness points to a need for robust operational frameworks and a deep understanding of data center life cycles.

📈 Primary Responsibilities

  • Lead and mentor project teams of discipline leads (Architectural, Structural, Civil, Mechanical, Electrical, Security, Controls) to deliver globally consistent, high-quality data center designs for the AMER region, meeting schedule and cost constraints.

  • Influence internal stakeholders, including operations teams and leadership, and external consultants to effectively implement program-wide design changes and address technical challenges.

  • Manage escalations from the design team, coordinating with procurement, construction, and external consultants to resolve issues promptly and efficiently.

  • Communicate effectively with AWS Leadership and external project partners, including the creation, tracking, and reporting of key metrics related to schedule, cost, and quality throughout the project lifecycle.

  • Develop innovative, out-of-the-box solutions during the design and construction phases to minimize contract change orders without negatively impacting quality or reliability.

  • Drive speed, quality, and simplification by eliminating rework loops, reducing and automating manual work and hand-offs, identifying and implementing best practices across the business, and minimizing process variability through standardization.

  • Create global best practice documentation and facilitate knowledge sharing across the global design community to foster continuous improvement and consistency.

  • Motivate and guide teams to achieve impeccable quality and adherence to aggressive schedules in a high-growth, deadline-driven environment.

  • Conduct site assessments, internal design meetings, and construction reviews, and interface with design consultants, with an anticipated travel not exceeding 25% (international travel may be required).

📝 Enhancement Note: The responsibilities highlight a blend of technical leadership, project management, and strategic process improvement. The emphasis on "self-performs engineering" suggests the role requires hands-on technical understanding, not just oversight. The drive for "speed, quality, and simplification" points to a strong focus on operational efficiency and Lean principles within the design and delivery lifecycle.

🎓 Skills & Qualifications

Education:

  • Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical, or Electrical Engineering.

Experience:

  • Minimum of 5+ years of industrial or commercial engineering experience in mission-critical facilities, such as data centers, power generation, or oil and gas facilities.

  • Minimum of 4+ years of specific data center design, construction, operations, or facility maintenance experience.

  • Proven experience in project management or management consulting, including the ability to handle multiple ongoing projects concurrently.

  • Demonstrated experience in managing the full lifecycle of design projects, from initial design strategy through to execution and deployment.

Required Skills:

  • Project Management: Proven ability to manage complex, multi-disciplinary projects from conception to completion, ensuring adherence to scope, schedule, and budget.

  • Data Center Design: Deep understanding of data center infrastructure, including power, cooling, structural, and architectural systems, with a focus on efficiency and reliability.

  • Engineering Leadership: Ability to lead and mentor diverse engineering teams, fostering collaboration and driving high performance.

  • Stakeholder Management: Skill in influencing internal stakeholders (operations, leadership) and external consultants to achieve project objectives and resolve conflicts.

  • Technical Documentation: Proficiency in reading, interpreting, and creating construction drawings, specifications, and submittal documents.

  • Process Optimization: Experience in identifying and implementing process improvements, automation, and standardization to enhance efficiency and reduce variability.

  • Construction Codes & Regulations: Familiarity with building codes and regulations relevant to the AMER region.

Preferred Skills:

  • Experience identifying, mitigating, and managing business risks and tradeoffs associated with large-scale projects.

  • Experience managing challenging assignments with aggressive schedules and high-pressure situations.

  • Familiarity with advanced data center technologies and sustainability initiatives.

  • Experience with supply chain integration and logistics for critical infrastructure components.

📝 Enhancement Note: The combination of a Bachelor's degree and 5+ years of experience, with a preference for a PE/Architect license and 4+ years specifically in data centers, aligns with a mid-to-senior level engineering management role. The emphasis on "mission-critical facilities" and "life cycle design" indicates a need for candidates with a strong grasp of operational continuity and long-term asset management within their design philosophy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Project Scope & Deliverables: Showcase at least 2-3 significant data center or mission-critical facility projects where you played a key design management role. Clearly define the project scope, your specific contributions, and the ultimate deliverables.

  • Process Optimization Case Studies: Include detailed examples of how you drove process improvements, implemented automation, or standardized workflows within design and construction phases. Quantify the impact on schedule, cost, or quality.

  • System Implementation Examples: Provide evidence of successful design strategy implementation, from concept to deployment, highlighting your role in navigating technical challenges and ensuring successful integration into operational environments.

  • Risk Management & Tradeoffs: Demonstrate your ability to identify, mitigate, and manage project risks and tradeoffs. Present scenarios where you made critical decisions balancing competing priorities (e.g., cost vs. reliability, speed vs. quality).

Process Documentation:

  • Workflow Design & Optimization: Evidence of designing or optimizing complex engineering workflows, including clear documentation of process steps, decision points, and interdependencies between disciplines.

  • Automation & Implementation: Examples of how you've leveraged technology or process changes to automate manual tasks, reduce hand-offs, and improve the efficiency of design delivery.

  • Measurement & Performance Analysis: Showcase how you've established metrics for design quality, schedule adherence, cost control, and operational performance, and how you used this data to drive continuous improvement.

📝 Enhancement Note: For a role focused on leading design for a major region, a portfolio demonstrating tangible results in process improvement, risk management, and cross-functional execution is critical. Candidates should be prepared to articulate the "how" and "why" behind their design decisions and process changes, emphasizing quantifiable outcomes.

💵 Compensation & Benefits

Salary Range:

  • Columbus, Ohio: $116,800 - $160,000 USD annually

  • Seattle, Washington: $116,800 - $160,000 USD annually

Benefits:

  • Comprehensive health insurance package including medical, dental, vision, and prescription coverage.

  • Basic Life & AD&D Insurance with options for supplemental life plans.

  • Employee Assistance Program (EAP) and robust Mental Health Support.

  • Medical Advice Line for convenient health guidance.

  • Flexible Spending Accounts (FSAs) for healthcare and dependent care.

  • Adoption and Surrogacy Reimbursement coverage.

  • 401(k) matching program to support long-term financial planning.

  • Generous Paid Time Off (PTO) and Parental Leave policies.

Working Hours:

  • Standard full-time work hours are typically 40 hours per week. While flexibility is encouraged, the nature of data center design and delivery may require extended hours during critical project phases or to meet urgent operational needs.

📝 Enhancement Note: The provided salary ranges are specific to the listed locations. The "sign-on payments and restricted stock units (RSUs)" are significant components of Amazon's total compensation, particularly for experienced professionals, and should be factored into overall compensation expectations. The benefits package is extensive, reflecting Amazon's commitment to employee well-being and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / Data Center Infrastructure Services

Company Size: Amazon is a global technology giant with hundreds of thousands of employees worldwide. AWS, as a division, is a leading provider of cloud computing services, operating at an immense scale. This role is within AWS Infrastructure Services, responsible for the design, planning, delivery, and operation of all AWS global data center infrastructure.

Founded: Amazon was founded in 1994, and AWS was launched in 2006. This long history signifies a culture of innovation, customer obsession, and continuous evolution.

Team Structure:

  • The Design Manager will be part of a global engineering leadership team within AWS Infrastructure Services.

  • This team comprises highly effective Architects and Engineers across various disciplines (Structural, Civil, Mechanical, Electrical, Security, Controls).

  • The role involves collaboration with numerous facets of the AWS organization, including operations, procurement, construction, and external engineering resources.

Methodology:

  • Data-Driven Decision Making: Operations and design decisions are heavily influenced by data analysis, performance metrics, and ROI calculations.

  • Process Optimization & Standardization: A core focus is on refining workflows, automating manual processes, and establishing global standards to ensure efficiency, scalability, and consistency.

  • Innovation & Continuous Improvement: The culture encourages exploring new technologies, challenging existing norms, and implementing novel solutions to optimize space utilization, energy efficiency, and cost-effectiveness.

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

📝 Enhancement Note: Working within AWS Infrastructure Services means being at the forefront of global cloud technology. The sheer scale and pace of AWS operations necessitate rigorous process management, a strong emphasis on operational efficiency, and a culture that embraces rapid iteration and continuous learning. The "customer obsession" principle extends to internal customers (operations teams) as well.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior-level position within Data Center Engineering Operations. It requires significant technical expertise, demonstrated leadership capabilities, and a strategic understanding of design, construction, and operational integration for mission-critical facilities. The scope of responsibility for an entire region (AMER) and the influence on global best practices indicate a leadership track.

Reporting Structure: The Design Manager will likely report to a higher-level Director or VP of Engineering within AWS Infrastructure Services, with dotted-line reporting or strong collaboration with regional operations leaders. They will manage a team of discipline leads and external consultants.

Operations Impact: The Design Manager has a direct and profound impact on AWS's ability to scale its global infrastructure rapidly, reliably, and cost-effectively. Their decisions influence:

  • Capacity Delivery: Enabling the deployment of new data center capacity to meet surging customer demand.

  • Operational Efficiency: Driving designs that optimize energy consumption, cooling, and space utilization, directly impacting operational costs.

  • Reliability & Availability: Ensuring the foundational design integrity that underpins AWS's commitment to uptime and customer trust.

  • Cost Management: Influencing capital expenditure through efficient design choices and minimizing operational expenditure through optimized facility performance.

Growth Opportunities:

  • Technical Specialization: Deepen expertise in specific areas of data center design (e.g., advanced cooling technologies, power distribution, automation systems).

  • Leadership Advancement: Progress to higher-level management roles overseeing larger regions, multiple regions, or global design initiatives.

  • Cross-Functional Mobility: Opportunities to move into roles within AWS Operations, Construction Management, Supply Chain, or Strategic Planning.

  • Mentorship & Development: Access to Amazon's extensive internal learning resources, mentorship programs, and a culture that supports continuous professional development and skill enhancement.

📝 Enhancement Note: This role is a significant step for experienced data center professionals. The ability to influence region-wide design standards and contribute to global best practices offers substantial career growth potential within one of the world's leading technology companies. The emphasis on "raising the bar" and "continuous learning" is a strong indicator of growth-oriented opportunities.

🌐 Work Environment

Office Type: This is an on-site role, requiring regular presence in either the Columbus, Ohio, or Seattle, Washington, office locations. The environment is likely a dynamic, collaborative office space designed to support engineering and project management functions.

Office Location(s):

  • Columbus, Ohio: A growing hub for technology and logistics, offering a competitive cost of living.

Workspace Context:

  • Collaborative Environment: Expect an open-plan office or team-based work areas designed to foster interaction, brainstorming, and quick problem-solving among engineering and project teams.

  • Operations Tools & Technology: Access to cutting-edge design software, project management tools, communication platforms, and potentially advanced visualization or simulation technologies.

  • Team Interaction: Frequent opportunities for direct collaboration with discipline leads, project managers, operations specialists, and other cross-functional teams through meetings, design reviews, and informal discussions.

Work Schedule: While the standard is 40 hours per week, the fast-paced nature of AWS and the critical infrastructure demands mean that extended work hours, weekend work, or on-call responsibilities may be necessary during critical project phases, system deployments, or to address urgent operational issues. Flexibility and commitment are key.

📝 Enhancement Note: The on-site requirement is typical for roles that involve direct oversight of complex projects and require seamless team coordination. The emphasis on collaboration and access to advanced tools suggests a modern, tech-forward workspace designed to support high-performance engineering teams.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter will likely conduct an initial phone screen to assess basic qualifications, experience, and interest in the role and Amazon.

  • Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, leadership style, project management capabilities, and technical understanding of data center design.

  • Technical Panel Interviews: A series of interviews with engineering discipline leads, peers, and potentially operations stakeholders. These will focus on technical depth, problem-solving skills, and your approach to design challenges and process optimization. Expect scenario-based questions.

  • Portfolio Review: A dedicated session where you will present key projects from your portfolio. Be prepared to walk through your contributions, design decisions, process improvements, and quantifiable results.

  • Leadership Principles Assessment: Amazon's "Leadership Principles" are integral to their hiring process. Expect questions designed to assess how you embody principles like Customer Obsession, Ownership, Bias for Action, Dive Deep, and Invent and Simplify.

  • Final Round/Offer: A final discussion with senior leadership, followed by an offer if successful.

Portfolio Review Tips:

  • Quantify Impact: For each project, clearly articulate the quantifiable results (e.g., % reduction in design cycle time, % cost savings, improvement in energy efficiency, reduction in rework orders).

  • Process Focus: Highlight specific examples of process improvements you championed, including the methodology used (e.g., Lean, Six Sigma), the implementation steps, and the outcomes.

  • Problem-Solution-Result: Structure your case studies using a clear problem-solution-result framework. Clearly state the challenge, your innovative solution or process change, and the measurable positive outcome.

  • Scalability & Consistency: Emphasize how your designs and processes contribute to global consistency, scalability, and operational reliability, aligning with AWS's mission.

  • Visual Aids: Use diagrams, charts, and visuals where appropriate to illustrate complex designs or process flows. Be prepared to discuss technical details and tradeoffs.

Challenge Preparation:

  • Process Design Exercise: You might be asked to outline a process for a hypothetical design challenge, focusing on efficiency, stakeholder communication, and risk mitigation.

  • Problem-Solving Scenarios: Prepare for questions asking how you would address specific design conflicts, schedule delays, or quality issues in a data center project.

  • Leadership Principles Application: Practice articulating specific STAR (Situation, Task, Action, Result) method examples that demonstrate your alignment with Amazon's Leadership Principles, particularly those related to innovation, ownership, and driving results.

📝 Enhancement Note: Amazon's hiring process is rigorous and heavily focused on assessing both technical competence and cultural fit through their Leadership Principles. Candidates must be prepared to provide specific, data-backed examples and demonstrate a proactive, results-oriented approach to problem-solving and process improvement. The portfolio review is a critical component for this role, requiring clear articulation of impact and methodology.

🛠 Tools & Technology Stack

Primary Tools:

  • CAD & Design Software: Proficiency with industry-standard CAD (e.g., AutoCAD, Revit) and BIM (Building Information Modeling) software is essential for interpreting and potentially contributing to construction drawings and specifications.

  • Project Management Software: Experience with platforms like Microsoft Project, Asana, Jira, or similar tools for planning, scheduling, tracking, and reporting on complex projects.

  • Collaboration Platforms: Familiarity with tools like Microsoft Teams, Slack, or Amazon's internal collaboration suites for real-time communication and team coordination.

Analytics & Reporting:

  • Data Analysis Tools: Ability to use data analysis tools (e.g., Excel, potentially SQL or BI tools like Tableau/Power BI if data analysis is part of the role's direct reporting) to track project metrics, identify trends, and support decision-making.

  • Reporting Dashboards: Experience creating or utilizing dashboards to visualize project status, key performance indicators (KPIs), and communicate progress to leadership and stakeholders.

CRM & Automation:

  • Internal AWS Systems: While specific internal tools are proprietary, a general understanding of how CRM principles apply to managing stakeholder relationships and how automation can streamline workflows is beneficial. The role emphasizes driving automation within design and delivery processes.

  • Integration Concepts: Understanding how various systems (design, procurement, construction, operations) need to integrate to ensure seamless data flow and process execution.

📝 Enhancement Note: While specific software names aren't always provided, the role implies a need for proficiency in standard engineering design tools, robust project management software, and analytical capabilities. The emphasis on "automating manual work" suggests a strong interest in leveraging technology to improve operational workflows.

👥 Team Culture & Values

Operations Values:

  • Customer Obsession: Prioritizing the needs of internal customers (e.g., AWS Operations teams) and external AWS customers by ensuring designs are reliable, efficient, and scalable.

  • Ownership: Taking full responsibility for design outcomes, identifying challenges proactively, and driving solutions to completion.

  • Invent and Simplify: Continuously seeking innovative solutions and simplifying complex processes to achieve greater efficiency and effectiveness in data center design and delivery.

  • Bias for Action: Making timely decisions and executing quickly, especially in a fast-paced, growth-oriented environment, while balancing speed with quality.

  • Dive Deep: Thoroughly understanding the technical details of data center design, construction, and operational implications to make informed decisions.

  • Integrity and Transparency: Upholding high ethical standards and communicating openly and honestly with stakeholders regarding project status, risks, and decisions.

Collaboration Style:

  • Cross-Functional Integration: Proactively collaborating with operations, construction, procurement, and other engineering disciplines to ensure designs are constructible, operable, and meet all business requirements.

  • Data-Driven Feedback Loops: Utilizing performance data from operational facilities to inform and improve future designs, creating a continuous learning cycle.

  • Global Best Practice Sharing: Actively participating in and contributing to the global community of design professionals, sharing knowledge and best practices to elevate standards across all regions.

📝 Enhancement Note: Amazon's Leadership Principles are the bedrock of its culture. For this role, principles like "Invent and Simplify," "Bias for Action," and "Dive Deep" are particularly relevant to driving efficiency and technical excellence in data center design. Understanding and embodying these principles is key to success.

⚡ Challenges & Growth Opportunities

Challenges:

  • Rapid Scalability: Meeting the immense and often unpredictable demand for AWS infrastructure requires designing at an unprecedented scale and speed, which presents constant challenges in resource allocation, timeline management, and innovation.

  • Global Consistency vs. Local Nuances: Balancing the need for globally standardized, efficient designs with the specific building codes, environmental conditions, and regulatory requirements of different regions within AMER.

  • Driving Automation & Process Change: Overcoming inertia and resistance to change when implementing new technologies or optimizing established processes across diverse teams and disciplines.

  • Managing Complex Stakeholder Expectations: Aligning the needs and priorities of various internal stakeholders (e.g., operations, finance, legal) and external partners on complex, high-stakes projects.

Learning & Development Opportunities:

  • Advanced Data Center Technologies: Access to cutting-edge research and development in areas like advanced cooling, power efficiency, and sustainable design practices.

  • Leadership Skills Enhancement: Opportunities to hone leadership, strategic planning, and cross-functional management skills through Amazon's extensive internal training programs and mentorship.

  • Industry Certifications & Conferences: Support for obtaining relevant professional certifications and attending industry conferences to stay abreast of the latest trends and network with peers.

  • Exposure to Global Operations: Gaining a deep understanding of how data center infrastructure is designed, built, and operated across diverse global markets.

📝 Enhancement Note: The challenges presented are inherent to working in a hyper-growth environment at the scale of AWS. Successfully navigating these requires adaptability, strong problem-solving skills, and a commitment to continuous learning and process improvement. The growth opportunities are substantial for those looking to advance their careers in critical infrastructure engineering.

💡 Interview Preparation

Strategy Questions:

  • Design Process & Improvement: "Describe a time you significantly improved a design process for mission-critical facilities. What was the problem, how did you approach it, what was the outcome, and what metrics did you use to measure success?" (Focus on demonstrating process optimization, automation, and quantifiable results).

  • Stakeholder Management & Influence: "Tell me about a situation where you had to influence a diverse group of stakeholders (e.g., operations, external consultants) to adopt a new design approach or overcome a significant technical challenge. How did you build consensus and manage differing opinions?" (Highlight communication, negotiation, and leadership skills).

  • Problem-Solving & Innovation: "Describe a complex design problem you encountered that required an inventive solution. How did you 'Invent and Simplify' to address it, and what was the impact on schedule, cost, or reliability?" (Showcase analytical thinking and creative problem-solving).

Company & Culture Questions:

  • Leadership Principles Application: Prepare specific STAR-method examples for each of Amazon's Leadership Principles. For this role, focus on: Customer Obsession (internal customers), Ownership, Invent and Simplify, Bias for Action, Dive Deep, and Build Trust.

  • Teamwork & Collaboration: "How do you foster a collaborative environment within a project team, especially when dealing with aggressive deadlines and diverse technical backgrounds?" (Demonstrate your understanding of AWS's inclusive culture and collaborative style).

  • Measuring Impact: "How would you measure the success of a data center design beyond just schedule and budget? What KPIs would you focus on for operational efficiency, reliability, and long-term value?" (Showcase your understanding of operations and business impact).

Portfolio Presentation Strategy:

  • Concise Storytelling: For each project, clearly articulate the "Why" (business need/challenge), the "What" (your role and solution), and the "So What" (quantifiable impact and lessons learned).

  • Process Deep Dive: Be ready to explain the specific processes you implemented or improved, the tools you used, and how you measured their effectiveness.

  • Tradeoff Discussion: Be prepared to discuss the tradeoffs you made during design decisions (e.g., cost vs. performance, speed vs. robustness) and justify your choices.

  • Future-Oriented Thinking: Connect your past experiences to how you would approach designing for AWS's future needs, emphasizing scalability, efficiency, and innovation.

📝 Enhancement Note: Interview preparation for AWS requires a deliberate focus on their Leadership Principles and the ability to articulate concrete, results-oriented examples. Candidates should be ready to discuss their technical acumen, project management skills, and capacity for driving operational improvements through design. The portfolio presentation is a key opportunity to demonstrate these capabilities.

📌 Application Steps

To apply for this operations position:

  • Submit your application through the official Amazon Jobs portal via the provided link.

  • Tailor Your Resume: Ensure your resume clearly highlights your experience with mission-critical facilities, data center design, project management, and process optimization. Quantify achievements with specific metrics.

  • Prepare Your Portfolio: Curate 2-3 key projects that best showcase your abilities in design leadership, process improvement, and delivering complex infrastructure. Be ready to present these with a focus on impact and methodology.

  • Research Amazon's Leadership Principles: Thoroughly understand each principle and prepare STAR method examples that demonstrate how you embody them in your professional conduct.

  • Practice Interview Questions: Rehearse answers to common operations, technical, and behavioral interview questions, especially those related to your portfolio and leadership principles.

⚠️ 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.

Application Requirements

Requires a bachelor's degree in a relevant engineering or construction field and 5+ years of experience in mission-critical facilities. Candidates should have a proven track record in project management and life cycle design from strategy through execution.