Senior Big Data Analytics Architect, Strategic Accounts Solutions Team

US, VA, Virtual Location - Virginia

Applications have closed

Amazon.com

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...

View company page

Job summary
Are you interested in all things Big Data at scale? Have you read our AWS Big Data blog, seen our Big Data AWS talks, and think you can raise the bar? Do you have the customer-facing skills and hands-on experience to design solutions that can help customers operate at the biggest scale on the planet? Come join us!

Amazon Web Services (AWS) is looking for an experienced Big Data Solutions Architect, who will be the Subject Matter Expert (SME) for designing architectures that leverage AWS services including Redshift, EMR, and others. The Big Data Solutions Architect will partner closely with the relevant Services teams, Business Development, and Sales to enable large-scale customer use cases and drive the adoption and revenue of AWS. You will work with the largest companies in the world to design flexible and cost-effective cloud-based solutions. You will develop white papers, blogs, reference implementations, and presentations to enable customers and other partners to fully leverage Big Data solutions on AWS. You will also create field enablement materials for the broader SA population, to help other SA’s understand how to integrate AWS Big Data solutions into customer architectures.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.


Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

#AWSStrategicAccounts #AWSStrategicSA

Basic Qualifications


  • 3+ years of design, implementation, or consulting experience in applications or infrastructures
  • 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)

  • 7+ years design/implementation/consulting experience with large-scale applications
  • 7+ years experience with Big Data architectures
  • Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.
  • Ability to understand complex application data flows, and bridge the gap between technical and business app requirements.



Preferred Qualifications

  • An advanced degree in computer science, MIS, engineering or related discipline
  • Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect
  • Working knowledge of one or more computer languages such as Java, C++, Perl, Ruby or Python
  • Hands-on experience with Amazon Web Service


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Tags: Architecture AWS Big Data Computer Science Consulting Data Analytics Engineering Perl Python Redshift Ruby Security

Perks/benefits: Career development Conferences Flex hours Team events

Regions: Remote/Anywhere Africa North America
Country: United States
Job stats:  10  3  0

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.