Senior Partner Solutions Architect

Amazon Web Services, Inc.

Arlington, VA Posted 6/30/2024 Full Time
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Would you like to be part of a team that is redefining the IT industry Amazon Web Services is leading the next paradigm shift in computing and is looking for a world class candidate for the role of Partner Solution Architect, Digital Innovation & Solutions, within our Global Systems Integrators (GSI) Channels & Alliances business function.

This is an ideal role for someone who has experience working for a global systems integrator, a large IT consulting firm, or a Fortune 1000 company. In this role, you will develop the technical capabilities of our Global System Integrators (GSIs) so they can be successful in the cloud. Working with these large partners is a team effort that will require influence and coordination with many stakeholders to collaborate on solutions in Big Data and Analytics. These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning. If you are a problem solver with a Data & Analytics technical skill, and have the ability to drive technical initiatives and cloud migration projects with the GSIs you will enjoy this role.

In this technical role focusing on Data Analytics and ML, you will architect enterprise-grade AWS solutions, own the technical relationships and deliverables for a GSI, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with Sales, Business Development and the Data & Analytics Service teams to enable partner’s Data & Analytics services adoption.

Key job responsibilities
• Design Customer Solutions with GSIs to use AWS Data and ML services such as Redshift, Kinesis, Lambda, Elastic Map Reduce (EMR), Glue, SageMaker, S3, DynamoDB, and the Relational Database Service (RDS) aligned with AWS Well-Architected framework
• Thought Leadership – Evangelize AWS Data & Analytics services to share best practices through forums such as AWS Big Data blogs, whitepapers and reference architectures, and events such as AWS Summits, AWS re:Invent
• Act as a technical liaison between partner and the Data & Analytics services engineering teams to provide end customer driven product improvement feedback.
• Serve as a key member of the partner team in helping the partner growth in building and migrating applications, data workloads and services on AWS.
• Capture and share best-practice knowledge amongst the worldwide AWS solution architect community.
• Provide the architectural guidance and recommendations necessary to promote successful partner engagements
• Assist GSIs in building offerings and technical strategies that will enable them to build and sell their offering on the AWS platform
• Coach and train GSIs to adopt AWS innovations for Data & Analytics workloads
• Assist GSIs in pursuits and enable them to win the business independently

About the team
About AWS

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
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 (gender 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

- 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
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

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

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.
JOB LOCATION:
Arlington, VA 22203

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