4 days ago

Data Architect

Amazon Web Services (AWS)

On Site
Full Time
$180,000
Atlanta, GA

Job Overview

Job TitleData Architect
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$180,000
LocationAtlanta, GA

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Job Description

Introduction

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data Architect to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality.

Possessing a deep understanding of AWS products and services, as a Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key Job Responsibilities

  • Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs.
  • Providing technical guidance and troubleshooting support throughout project delivery.
  • Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies.
  • Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies.
  • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.

About The Team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

  • Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
  • Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
  • Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

  • 3+ years of cloud architecture and solution implementation experience.
  • Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
  • Experience implementing AWS services in a variety of distributed computing environments.

Preferred Qualifications

  • 5+ years of IT implementation experience.
  • Degree in advanced technology, or AWS Professional level certification.
  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
  • Knowledge of security and compliance standards including HIPAA and GDPR.
  • Experience and technical expertise (design and implementation) in cloud computing technologies.
  • Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience.
  • Experience in performance optimization and cost management for cloud environments.
  • Experience presenting technical solutions to diverse audiences in pre-sales environments.

Key skills/competency

  • Cloud Architecture
  • AWS Solutions
  • Data Analytics
  • Technical Leadership
  • Customer Consulting
  • Data Migration
  • Performance Optimization
  • Risk Management
  • Distributed Computing
  • Compliance Standards

Tags:

Data Architect
data architecture
cloud solutions
AWS implementation
technical leadership
customer consulting
data analytics
migration strategy
performance optimization
risk management
mentoring
AWS
EC2
S3
RDS
ELB
Route53
distributed computing
machine learning
serverless
data & analytics

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How to Get Hired at Amazon Web Services (AWS)

  • Research Amazon Web Services's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight data architecture, AWS services, and consulting experience relevant to cloud solutions.
  • Showcase project impact: Quantify achievements in designing and implementing AWS Data & Analytics solutions.
  • Prepare for technical interviews: Deep dive into AWS Data & Analytics services, distributed computing, and architectural best practices.
  • Demonstrate customer obsession: Be ready to discuss client engagement, problem-solving, and delivering successful outcomes.

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