Sr. UX Designer, Database UX

📍 Job Overview

Job Title: Sr. UX Designer, Database UX

Company: Amazon

Location: Santa Clara, California, United States

Job Type: Full-time

Category: UX Design / Product Design

Date Posted: 2026-06-18

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Spearhead the design of user experiences for a comprehensive suite of AWS database services, ensuring seamless integration and intuitive interaction across relational, NoSQL, in-memory, graph, and analytics platforms.

• Drive end-to-end design ownership, from initial customer research and problem discovery through to the creation of functional prototypes using advanced AI-assisted tools, accelerating the design-to-delivery cycle.

• Champion customer needs by conducting in-depth research, synthesizing feedback, and translating insights into actionable design strategies and recommendations that address complex technical user pain points.

• Collaborate closely with product management and engineering leadership to define and elevate the standard for customer experience within the AWS database ecosystem, contributing to strategic narratives and early concept development.

📝 Enhancement Note: While this role is a UX Design position, its focus on "Database UX" within AWS implies a need for understanding complex technical workflows and user needs, often associated with operations and engineering roles. The emphasis on AI, prototyping, and end-to-end ownership suggests a highly strategic and technically adept designer. The "Database UX" specialization indicates a deep dive into the intricacies of data management, performance monitoring, and cloud infrastructure for technical users.

📈 Primary Responsibilities

• Own and meticulously craft the user experience for diverse AWS database services, including RDS, Aurora, DynamoDB, Redshift, and others, ensuring consistency and usability across the portfolio.

• Proactively identify and address cross-service pain points, such as navigation inconsistencies, workflow complexities, and gaps in self-service capabilities, by developing compelling design visions and securing cross-team alignment.

• Leverage and extend the AWS Design System by creating custom patterns, illustrations, and sophisticated data visualizations specifically tailored to the needs of database customers.

• Define, measure, and analyze key design metrics to track the effectiveness of UX improvements, using data-driven insights to advocate for further investment and iterative enhancements.

• Develop and present robust design strategies, substantiated by customer evidence obtained through research, feedback channels, support tickets, and usage data analysis.

• Partner with product managers and engineers to meticulously define "good" user experiences and present design work to senior leadership for strategic feedback and alignment.

• Conduct comprehensive user research, including usability studies and feedback analysis, to create detailed journey maps, job-to-be-done frameworks, and informed design recommendations.

• Define clear, measurable paths for service improvement and meticulously track the impact of UX changes over time, demonstrating tangible value to business objectives.

• Drive projects from initial discovery and research phases through to final delivery, including the creation of functional prototypes using AI-assisted coding tools to validate user concepts prior to engineering commitment.

• Produce a comprehensive range of design artifacts, including user flows, information architecture, visual designs, data visualizations, and interactive prototypes that clearly articulate design intent and functionality.

• Actively contribute to Amazon's "Working Backwards" process by writing and refining PR/FAQs and developing early-stage concepts that bring new ideas and features to life.

• Integrate generative AI tools into the daily workflow to accelerate research synthesis, explore a wider array of design alternatives, produce rapid prototypes, and critically evaluate AI-generated outputs for quality and customer suitability, while ensuring responsible data handling.

📝 Enhancement Note: The responsibilities highlight a significant emphasis on technical user needs and complex systems, which is common in operations-focused design roles. The expectation to "find pain points that cut across services" and "build a vision for fixing them" points to a strategic, problem-solving approach vital for operations efficiency. The integration of generative AI and "vibe coding" suggests a forward-thinking approach to design execution, demanding adaptability and technical curiosity.

🎓 Skills & Qualifications

Education: Bachelor's degree or higher in Design, Human-Computer Interaction (HCI), or a related field is preferred.

Experience: Minimum of 6 years of professional design experience, with a proven track record of designing for complex technical workflows and end-users.

Required Skills:

• 6+ years of professional design experience.

• A strong, available online portfolio showcasing end-to-end design process and impactful user experiences, particularly for complex systems.

• Proficiency with AI/ML technologies and their application in design processes.

• Demonstrated experience with UI design for complex workflows and for end-users, focusing on clarity and efficiency.

• Expertise in Figma for creating high-fidelity designs, wireframes, and prototypes.

• Familiarity with AI-assisted code generation tools (e.g., Cursor, Copilot, Claude, v0, Bolt) and the ability to leverage them for rapid prototyping.

• Experience with user-centered design processes, ensuring user needs are at the forefront.

• Ability to acquire user data through methods like usability studies and user research.

• Skill in creating essential design artifacts such as personas and journey maps. Preferred Skills:

• Bachelor's degree or above in design, human-computer interaction (HCI), or a related field.

• In-depth experience with UX design for complex technical workflows, particularly within cloud or enterprise software environments.

• Deep knowledge of best practices for information architecture and interaction design.

• Proven ability to conduct user research, analyze findings, and translate them into actionable design solutions.

• Experience driving innovation in close partnership with Product Management and Engineering teams.

• Demonstrated ability to present work and advise senior leaders outside of the design domain effectively.

• Experience working within teams that deliver software products and features using agile methodologies.

• Strong verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely.

• Ability to build functional interactive prototypes using AI-assisted coding tools, demonstrating a practical understanding of how to make concepts work without necessarily being a deep software engineer.

• Experience evaluating and refining AI-generated content to meet professional quality standards, ensuring a high level of polish and accuracy.

📝 Enhancement Note: The requirement for 6+ years of experience, coupled with the specific mention of "complex workflows" and "technical customers," suggests this role is for a senior individual contributor who can operate with a high degree of autonomy and strategic input. The emphasis on AI tools and prototyping indicates a need for a designer who is not only skilled in traditional UX but also forward-thinking and adaptable to new technologies that can accelerate the design lifecycle, a critical factor in fast-paced tech environments like AWS.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 comprehensive case studies demonstrating your end-to-end UX design process, from problem definition to final implementation and impact measurement.

• Include projects that highlight your experience with complex technical workflows, data-intensive applications, or enterprise-grade software solutions.

• Clearly articulate the problem statement, your role and contributions, the design process undertaken (research, ideation, iteration, testing), and the final solution.

• Quantify the impact of your designs using key metrics where possible, such as improvements in task completion time, error rates, user satisfaction, or adoption rates.

• Demonstrate proficiency in using tools like Figma for wireframing, prototyping, and visual design, alongside examples of how you've leveraged AI or other advanced tools. Process Documentation:

• Provide examples of how you've documented user research findings, including journey maps, personas, and job-to-be-done analyses.

• Showcase your ability to create detailed user flows, information architecture diagrams, and interaction specifications for complex systems.

• Include examples of how you've used prototyping, including AI-assisted methods, to validate design concepts and gather user feedback early in the process.

• Demonstrate experience in defining and tracking design metrics to measure the success and impact of implemented UX solutions, linking design outcomes to business objectives.

📝 Enhancement Note: For a Senior UX Designer role, especially within AWS, the portfolio is paramount. It needs to go beyond just aesthetics and demonstrate a deep understanding of user-centered design principles applied to complex technical environments. The emphasis on AI-assisted prototyping and metric-driven outcomes signals a need for designers who can deliver tangible results and adapt to emerging design technologies.

💵 Compensation & Benefits

Salary Range: $156,400 - $211,600 USD annually (for Santa Clara, California)

Benefits:

• Comprehensive Health Insurance: Includes medical, dental, vision, and prescription coverage.

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

• Employee Assistance Program (EAP) and Mental Health Support: Access to professional support services.

• Medical Advice Line: For health-related inquiries and guidance.

• Flexible Spending Accounts (FSAs): For healthcare and dependent care expenses.

• Adoption and Surrogacy Reimbursement: Financial assistance for family-building expenses.

• 401(k) Matching: Retirement savings plan with employer matching contributions.

• Paid Time Off (PTO): Generous leave for vacation, personal time, and holidays.

• Parental Leave: Support for new parents.

• Sign-on Payments: Additional compensation provided upon hire.

• Restricted Stock Units (RSUs): Equity awards that vest over time, offering potential for long-term financial growth.

Working Hours: Standard full-time, approximately 40 hours per week, with potential for overtime depending on project demands and deadlines.

📝 Enhancement Note: The salary range provided is specific to Santa Clara, California, reflecting the high cost of living and competitive tech market in the Silicon Valley area. Amazon's comprehensive benefits package, including sign-on bonuses and RSUs, is typical for senior roles at major tech companies and aims to provide both immediate financial security and long-term wealth-building opportunities. The inclusion of extensive health and family support benefits underscores Amazon's commitment to employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, E-commerce, Artificial Intelligence, Digital Streaming, and various other technology sectors. Amazon Web Services (AWS) is a leading provider of cloud computing services, powering a significant portion of the internet's infrastructure.

Company Size: Over 1.5 million employees globally (as of recent reports), making it one of the largest employers in the world. This vast scale offers immense opportunities for impact and career mobility.

Founded: 1994, by Jeff Bezos. Amazon has grown from an online bookstore to a global e-commerce and technology giant.

Team Structure:

• The UX team for AWS Databases is centralized, indicating a strategic approach to design consistency and best practices across the entire database portfolio.

• This team operates at two levels: deep, focused work within individual services (e.g., RDS, DynamoDB) and broader, strategic work connecting the entire portfolio, ensuring a holistic customer experience.

• Designers collaborate directly with Product Managers and Engineering teams, forming cross-functional pods or squads that drive product development using agile methodologies.

• The team includes a mix of long-tenured Amazonians and individuals from diverse backgrounds (startups, enterprise), fostering a blend of established Amazonian principles and fresh perspectives. Methodology:

• Data-driven decision-making is a cornerstone, with a strong emphasis on customer research, usage data, and performance metrics to inform design choices.

• Amazon's "Working Backwards" process is central to product development, starting with a customer-focused press release (PR/FAQ) and iterating from there. Designers play a key role in articulating and visualizing these concepts.

• Agile methodologies are standard for software development, requiring designers to be adaptable and responsive to iterative feedback and changing requirements.

• A culture of "bias for action" encourages rapid prototyping and testing, often using AI-assisted tools to accelerate the design cycle and reduce time-to-market.

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

📝 Enhancement Note: The sheer scale of Amazon and AWS means that even specialized roles have the potential for massive impact. The centralized UX team structure suggests a highly organized approach to design, aiming for consistency and efficiency across a complex product suite. The blend of established Amazonian culture ("Working Backwards," "bias for action") with modern tooling (AI) indicates a dynamic environment that values both proven methodologies and innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Sr. UX Designer," indicating a senior individual contributor position. It requires a high degree of autonomy, strategic thinking, and the ability to mentor junior designers. The scope includes owning customer experiences across multiple services and influencing product strategy.

Reporting Structure: The Sr. UX Designer will likely report to a UX Design Manager or Lead within the AWS Databases UX team. This team is part of the broader Customer Experience organization within AWS. Collaboration will be extensive with Product Managers and Engineering Leads for various database services.

Operations Impact: The impact of this role is significant, as the AWS database portfolio underpins critical global workloads. By improving the UX for these complex services, the designer directly influences the efficiency, productivity, and success of hundreds of thousands of technical customers (engineers, developers, data scientists, and operations professionals), ultimately contributing to AWS's market leadership and customer satisfaction.

Growth Opportunities:

• Specialization & Leadership: Deepen expertise in database UX, AI-driven design, or complex technical system design, potentially leading design initiatives for new service launches or portfolio-wide improvements.

• Mentorship: Opportunity to mentor junior designers, guiding them through Amazon's design processes and best practices.

• Cross-Portfolio Impact: Expand influence across other AWS service areas by leveraging learned expertise and contributing to broader UX initiatives within AWS.

• Technical Acumen: Develop a deeper understanding of cloud infrastructure, database technologies, and AI/ML, enhancing cross-functional communication and design effectiveness.

• Career Advancement: Potential to move into Lead UX Designer, Principal UX Designer, or UX Manager roles within AWS or other Amazon organizations.

📝 Enhancement Note: The "Sr." title implies a level of responsibility and influence that goes beyond typical design tasks. The emphasis on owning problems end-to-end and influencing strategy means this role is a stepping stone for further leadership or principal-level individual contributor roles within Amazon's vast ecosystem. The specific context of database UX within AWS offers unique opportunities to grow expertise in a highly specialized and in-demand field.

🌐 Work Environment

Office Type: Primarily an on-site role, indicating a collaborative office environment within Amazon's facilities in Santa Clara, California. This setting facilitates direct interaction with cross-functional teams.

Office Location(s): Santa Clara, California, a hub for technology companies in Silicon Valley. This location offers access to a vibrant tech ecosystem and talent pool.

Workspace Context:

• Collaborative Environment: The office setting is designed to foster collaboration, with teams working closely together on product development. Expect opportunities for brainstorming sessions, design critiques, and informal knowledge sharing.

• Tools and Technology: Access to state-of-the-art design tools, including Figma, and cutting-edge AI-assisted prototyping and coding platforms, is standard. This environment encourages experimentation and adoption of new technologies.

• Team Interaction: Regular interaction with product managers, engineers, researchers, and other designers is expected, creating a dynamic and interdisciplinary work atmosphere. This close collaboration is key to Amazon's agile development process.

Work Schedule: While the standard is 40 hours per week, the fast-paced nature of the tech industry and AWS's commitment to "bias for action" may necessitate flexibility to meet project deadlines and launch schedules. This could involve occasional longer hours or adjusted schedules, particularly during critical project phases.

📝 Enhancement Note: The on-site requirement in Santa Clara is typical for roles demanding intense collaboration and rapid iteration, especially within a company like Amazon that values in-person synergy for its development teams. The workspace context emphasizes the integration of modern design tools and a collaborative, cross-functional approach, which is essential for tackling complex projects like those within the AWS database portfolio.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application, focusing on your resume and portfolio link to assess alignment with basic qualifications.

• Portfolio Deep Dive: Expect an interview focused on your portfolio. You'll be asked to walk through 1-3 key projects, detailing your role, process, decisions, and the outcomes. Be prepared to discuss challenges, trade-offs, and how you collaborated.

• Design & Problem-Solving Interviews: Technical interviews will assess your UX design skills, critical thinking, and ability to solve complex problems. This may include design exercises, system thinking questions, and discussions about user research methodologies.

• Cross-Functional Interviews: Interviews with Product Managers and Engineers to evaluate your collaboration style, communication skills, and ability to work effectively in a cross-functional team environment.

• Leadership Principles Interview: A significant portion of Amazon interviews focuses on their 16 Leadership Principles. Prepare specific examples from your experience that demonstrate how you embody these principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep, Invent and Simplify).

• Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, career aspirations, and confirm your understanding of the role and team.

Portfolio Review Tips:

• Storytelling: Structure your case studies as compelling narratives. Clearly define the problem, your specific contributions, the design process, key decisions, and the measurable impact of your work.

• Process Over Pixels: While visual design is important, emphasize your thought process, research methods, and how you arrived at your solutions. Show how you navigated ambiguity and trade-offs.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs. This could include improvements in user satisfaction, task completion rates, efficiency gains, or adoption numbers.

• Technical Context: Given the role's focus on AWS databases, highlight any experience with complex technical systems, developer tools, or enterprise software.

• AI Integration: Showcase how you've used AI tools (like those mentioned in the job description) in your design process, from research synthesis to prototyping. Explain the benefits and any limitations you encountered.

• Tailor to the Role: Select projects that best align with the responsibilities outlined, particularly those involving complex workflows, data visualization, or technical user experiences.

Challenge Preparation:

• Design Exercises: Be prepared for hypothetical design challenges that might involve improving an existing AWS service or designing a new feature for database management. Focus on structured problem-solving, user research, ideation, and proposing solutions with clear rationale.

• Leadership Principles: Research each of Amazon's 16 Leadership Principles thoroughly. Prepare STAR (Situation, Task, Action, Result) method examples for each principle that are relevant to your design experience.

• Technical Acumen: Refresh your understanding of core UX principles and gain some familiarity with common database concepts and cloud computing terminology, as you'll be designing for technical users.

• AI Tool Familiarity: Be ready to discuss your experience with generative AI tools and how you envision using them to enhance the design process for complex technical products.

📝 Enhancement Note: Amazon's interview process is notoriously rigorous, with a strong emphasis on their Leadership Principles and a deep dive into candidates' portfolios. For this Sr. UX Designer role, expect to demonstrate not just design craft but also strategic thinking, problem-solving prowess, and the ability to influence product direction within a highly technical domain. Proficiency with AI tools is a key differentiator.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for wireframing, UI design, prototyping, and design system management. Proficiency is essential.

• AI-Assisted Coding Tools: Experience with tools like Cursor, Copilot, Claude, v0, or Bolt for generating prototypes and validating ideas quickly through "vibe coding."

• Prototyping Tools: Beyond Figma, familiarity with other advanced prototyping tools that allow for functional prototypes is beneficial.

• User Research Platforms: Tools for conducting usability studies, surveys, and interviews (e.g., UserTesting.com, SurveyMonkey, Lookback).

Analytics & Reporting:

• AWS Analytics Services: Familiarity with relevant AWS analytics services (e.g., CloudWatch, QuickSight) for understanding usage patterns and performance data is advantageous.

• Data Visualization Tools: Experience creating clear and insightful data visualizations within designs or prototypes.

• Internal Amazon Tools: Exposure to Amazon's internal analytics and reporting dashboards for tracking product performance and user engagement.

CRM & Automation:

• While not a direct CRM role, understanding how user data flows and impacts product features is key. Experience with tools that manage user feedback or support tickets can be helpful.

• Familiarity with workflow automation concepts is beneficial, particularly as it relates to simplifying complex user tasks within database management.

📝 Enhancement Note: The explicit mention of specific AI-assisted coding tools and Figma highlights the technical and modern nature of Amazon's design stack. For a Sr. UX Designer, proficiency with these tools is not just about using them, but about understanding how to leverage them for efficiency, rapid iteration, and impactful design outcomes, especially in a complex technical domain like AWS databases.

👥 Team Culture & Values

Operations Values: (Reflecting Amazon's Leadership Principles)

• Customer Obsession: Deeply understanding the needs of technical users (developers, engineers, DBAs) and designing solutions that genuinely solve their problems and improve their workflows.

• Ownership: Taking full responsibility for the end-to-end design experience, from initial concept to post-launch analysis, and driving initiatives forward autonomously.

• Invent and Simplify: Finding innovative ways to solve complex problems and simplifying intricate technical processes into intuitive user experiences. This includes leveraging new technologies like generative AI.

• Dive Deep: Thoroughly understanding the technical intricacies of AWS databases and the challenges faced by users, going beyond surface-level solutions.

• Bias for Action: Moving quickly to prototype, test, and iterate on designs, understanding that speed and learning are critical in a fast-paced environment.

• Are Right, A Lot: Using data, research, and sound judgment to make informed design decisions, and being open to revising them when new information emerges.

Collaboration Style:

• Cross-Functional Partnership: A highly collaborative approach, working hand-in-hand with Product Managers, Engineers, and other stakeholders to achieve shared goals. This involves frequent communication, shared understanding, and mutual respect.

• Constructive Feedback: A culture that values direct, constructive feedback during design critiques and team meetings, aimed at improving the quality of the product and designs.

• Data-Informed Discussions: Design discussions are typically grounded in customer data, research findings, and performance metrics, leading to objective and effective decision-making.

• Working Backwards: Embracing the process of starting with the customer and working backward, ensuring that all design efforts are aligned with delivering customer value.

📝 Enhancement Note: Amazon's culture is heavily defined by its Leadership Principles, which are deeply integrated into daily work and decision-making. For a UX Designer, this means not only excelling at design craft but also demonstrating strong ownership, customer empathy for technical users, and a commitment to innovation and efficiency, often through data-driven approaches.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Technical Systems: Designing intuitive user experiences for highly complex and technical products like AWS databases requires a deep understanding of underlying technologies and user workflows.

• Ambiguity: The role involves working on both established services and new initiatives, often with evolving requirements and a need for ambiguity tolerance.

• Cross-Team Dependencies: Successfully driving design solutions across multiple AWS database services requires navigating complex organizational structures and securing buy-in from various stakeholders.

• Rapid Iteration with AI: Effectively integrating and critically evaluating AI-generated outputs requires a discerning eye and the ability to guide AI tools towards professional-quality results, rather than passively accepting them.

Learning & Development Opportunities:

• Deep Domain Expertise: Gain unparalleled expertise in the vast AWS database portfolio and the specific challenges faced by technical users in cloud environments.

• Cutting-Edge Tooling: Become proficient in leveraging generative AI and advanced prototyping tools to accelerate the design process and explore novel solutions.

• Cross-Functional Exposure: Develop strong collaboration and communication skills by working closely with world-class product managers, engineers, and researchers.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and contribute to strategic product roadmaps, paving the way for leadership roles.

• Impactful Projects: Work on projects that have a massive global impact, directly influencing how businesses and developers leverage cloud infrastructure.

📝 Enhancement Note: The challenges presented are inherent to working at a large-scale, cutting-edge technology company like Amazon. The growth opportunities are equally significant, offering a chance to develop highly specialized skills and contribute to foundational technologies with a global reach. The emphasis on AI presents a unique opportunity to be at the forefront of design technology evolution.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly technical audience with complex workflows. What were the key challenges, and how did you approach them?" (Focus on your process, research, and how you simplified complexity.)

• "Walk me through a project where you had to influence product direction or gain buy-in from engineering and product leadership. What was your strategy, and what was the outcome?" (Demonstrate influence, data-driven arguments, and collaboration.)

• "How would you approach identifying and solving a pain point that spans multiple AWS database services? What steps would you take from discovery to proposing a solution?" (Showcase strategic thinking, problem decomposition, and cross-functional collaboration.) Company & Culture Questions:

• "How do you embody Amazon's 'Customer Obsession' principle when designing for technical users?" (Connect your design philosophy to specific actions and user empathy.)

• "Tell me about a time you had to 'Invent and Simplify' a complex process or feature. What was your approach, and what was the result?" (Highlight innovation and user-centric simplification.)

• "Describe a situation where you had a 'Bias for Action' in your design work. How did you balance speed with quality?" (Showcase proactivity and efficient execution.)

• "How do you ensure you 'Dive Deep' into understanding a problem space, especially when dealing with technical constraints?" (Illustrate thoroughness and technical curiosity.) Portfolio Presentation Strategy:

• The Narrative Arc: For each case study, structure it as a story: the challenge (customer problem/business need), your role and approach, the solution (key design artifacts, prototypes), and the impact (metrics, lessons learned).

• Highlight the "Why": Clearly articulate why you made specific design decisions. Connect your choices back to user research, business goals, or technical constraints.

• Showcase the Process: Don't just show final screens. Include sketches, wireframes, user flows, and research artifacts to demonstrate your thinking and iteration.

• Quantify Success: Use data and metrics to validate the effectiveness of your designs. If direct metrics aren't available, use strong qualitative evidence or proxy metrics.

• AI's Role: If AI tools were used, explain how and why. Discuss the benefits gained (e.g., speed, exploration) and any critical evaluation or refinement you performed on AI outputs.

• Conciseness and Clarity: Be mindful of time. Focus on the most impactful aspects of your projects and be prepared to answer specific questions about your contributions and decisions.

📝 Enhancement Note: Amazon interviews are heavily weighted towards behavioral questions aligned with their Leadership Principles and a thorough review of the candidate's portfolio. For this Sr. UX Designer role, demonstrating strategic thinking, technical understanding, and the ability to leverage new technologies like AI effectively will be critical for success.

📌 Application Steps

To apply for this operations-adjacent UX design position:

• Submit your application through the official Amazon Jobs portal, ensuring your resume and portfolio link are prominently featured.

• Portfolio Customization: Select 2-3 of your most relevant case studies that showcase experience with complex technical workflows, enterprise software, or data-intensive applications. Tailor your presentation to highlight your understanding of database concepts and your ability to design for technical users.

• Resume Optimization: Ensure your resume clearly lists your 6+ years of design experience, highlights proficiency in Figma and AI-assisted tools, and uses keywords from the job description (e.g., "complex workflows," "technical customers," "prototyping," "generative AI"). Quantify achievements where possible.

• Leadership Principles Preparation: Thoroughly research Amazon's 16 Leadership Principles and prepare specific STAR method examples for each, focusing on situations relevant to design, collaboration, and problem-solving in a technical environment.

• Company Research: Familiarize yourself with AWS, its database offerings (RDS, Aurora, DynamoDB, etc.), and Amazon's "Working Backwards" process. Understand the company's emphasis on customer obsession and data-driven decision-making.

• Practice Portfolio Walkthrough: Rehearse presenting your selected case studies, focusing on clear storytelling, articulating your design process, and quantifying the impact of your work. Be ready to discuss your role and decision-making in detail.

⚠️ 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.