Senior ProServe Cloud Architect – Data, Data and Machine Learning, US Federal

Arlington, Virginia, USA

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The Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe Cloud Architect (PCA) to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. You'll be a key player in the pre-sales process, providing technical expertise and guidance throughout the customer's cloud journey.

In this role, you'll be responsible for creating and leading the solution design to address customer business outcomes (CBO). Operating as the conduit between ProServe Account Executives and our Shared Delivery Teams (SDT), you’ll ensure proposed solutions are realistic, achievable, and optimize ProServe and/or our partners to maximize CBOs. As a PCA you are a trusted advisor to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions to address customer challenges. As a technical SME, you will share knowledge within the organization, through mentoring, training, creation of reusable artifacts and process improvements.

Your experience in designing technical solutions within the technology/consulting sector, will equip you with the ability to architect complex, scalable, and secure solutions tailored to meet the specific needs of each customer, translating technical concepts into business value. Your success as a PCA will be linked to impacting the signing of SOWs, and the successful implementation of solutions which achieve CBOs while exceeding customer satisfaction (CSAT) expectations.

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.

It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs)
- Providing technical guidance and best practices during pre-sales and implementation phases
- Collaborating with Account Managers and Shared Delivery Teams to ensure proposed solutions are realistic and achievable
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the team
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.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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.

Basic Qualifications


- 5+ years of experience in cloud architecture, designing and implementing cloud solutions.
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of database (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 5+ years of external or internal customer facing, complex and large scale project management experience
- Current, active US Government Security Clearance of Top Secret or above

Preferred Qualifications

- Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Expertise in performance optimization and cost management for cloud environments
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences as part of pre-sales motion
- 5+ years of experience in designing, developing, and performance optimization of robust data architectures on AWS, including data lakes, lakehouse architectures, data warehouses
- 5+ years of experience implementing distributed compute data technologies (e.g. Spark, Hive, Redshift) for scalable and secure data solutions, and utilizing query engines for efficient querying across large datasets

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.

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Computer Science Consulting DevOps Engineering Government agency Hadoop Kafka Kinesis Machine Learning NoSQL Redshift Security Spark SQL

Perks/benefits: Career development Conferences Flex hours Team events

Region: North America
Country: United States

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