
Work hard. Have fun. Make history.
Migration & Modernization Solutions Architect - Data & Analytics, Senior Migrations & Modenization SA
Required skills
AWS
Spark
Machine Learning
Are you a Big Data specialist? Do you have Data Warehousing, Hadoop/Spark/EMR, Machine Learning and/or Real Time Event Processing experience? Do you like to solve the most complex and large-scale data challenges in the world today? Do you want to have an impact in the development and use of new data analytics technologies? Would you like a career that gives you opportunities to help customers and partners use Cloud computing services to build new solutions, faster, and at lower cost? Do you like to gain the deepest customer and partner insights using Cloud computing technologies?
Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.
At AWS, we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on solutions in Big Data and Analytics. These engagements will focus on Real Time and Batch-based Big Data processing, Business Intelligence, HPC, and Machine Learning. This role will specifically focus on AWS Services for Analytics, and on helping our customers and partners build innovative Solutions and Businesses that focus on leveraging the value of data.
You would be one of the members of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations. The business development and accounting management teams will help you accelerate the adoption of AWS as the leading cloud technology platform.
The ideal candidate will …
Be great fun to work with. Our company credo is “Work hard. Have fun. Make history”. As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge.
Enjoy working with customers and partners. Have a passion for educating, training, designing, and building cloud computing systems for some of the world’s largest and most important organizations.
Key job responsibilities
- Design Customer Solutions Collaborate with AWS field sales, presales, training and support teams to help partners and customers learn and use AWS services such as Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, AWS Lambda, Data Pipeline, S3, DynamoDB, and the Relational Database Service (RDS)
- Engage with Solution Architects, Account Managers, professional services, and partners to develop an Analytics engagement strategy for AWS operational territories and key accounts.
- Provide global thought leadership on Analytics solutions that benefit customers through the use of AWS Services. This takes the form of contribution to external publications such as the AWS Big Data Blog, White Papers and Reference architectures, as well as internal training and coaching of Solution Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers
- Serve as a key member of the business development and account management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform.
- Assist solution providers with the definition and implementation of technical and business strategies.
- Capture and share best-practice knowledge amongst the worldwide AWS solution architect community.
- Understand AWS market segments, and industry verticals.
- Understand and exploit the use of internal business support systems.
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 description, 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?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture:
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
Basic Qualifications
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Speak, write, and read fluently in English
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities
- Experience managing relationships with SAP customers and partners
- Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
- Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
$1.5T
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.2
Culture
3.0
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
Salary Ranges
4 data points
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0 reports
$108,330
total per year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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