Sr. Specialist Solution Architect - Data

Amazon Web Services Mexico S. de R.L. de C.V.; Ciudad de México; Presencial; MXN 80,000 - 100,000; Jornada completa

Descripción de la vacante

A global leader in cloud computing is seeking an AWS Specialist Solutions Architect in Mexico City to address complex customer challenges. The role requires deep technical expertise in cloud-based systems and data analytics. Successful candidates will have over 7 years of relevant experience, exceptional customer engagement skills, and a commitment to lifelong learning in a diverse and inclusive environment. The position offers the opportunity to design scalable architectures and collaborate with talented professionals across various teams.

Servicios

Flexible work-life balance

Mentorship and career growth opportunities

Inclusive team culture

Formación

• 7+ years of design, implementation, or consulting experience in applications and infrastructure.
• 5+ years of specific technology domain areas and sales experience.
• 3+ years of experience in big data, data warehousing, and data analytics.
• 3+ years of experience in ml ops and data processing.

Responsabilidades

• Work closely with product and field teams to enable new customer capabilities.
• Design storage infrastructure solutions for customer lifecycles.
• Partner with various AWS teams to accelerate customer adoption.
• Share best practices through public forums and events.

Conocimientos

Cloud computing

Data analytics

Technical architecture

Customer engagement

AWS services

Educación

Bachelor’s degree

Herramientas

Amazon EMR

Amazon Redshift

Amazon SageMaker

Descripción del empleo

DESCRIPTION

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

Analytics Specialist Solutions Architects combine technical skills in analytics, business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth’s Best Employer.

Key job responsibilities

• Working closely with our product and field teams, you will help enable new capabilities for our customers to develop and deploy data workloads on AWS infrastructure
• Design best in class storage infrastructure solutions for all stages of customer and product lifecycles.
• Partner with SAs, Sales, Business Development and Service teams to accelerate customer adoption and revenue attainment.
• You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.
• Share best practices through forums such as AWS blogs, whitepapers, reference architectures and public‑speaking events such as AWS Summit, AWS re:Invent, etc.
• Act as a technical liaison between customers and the AWS teams to provide customer‑driven product improvement feedback.
• Develop and support an AWS internal community of related subject matter experts.

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

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

• 7+ years of design, implementation, or consulting in applications and infrastructures experience
• 5+ years of specific technology domain areas and sales experience (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
• 3+ years of implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios. (Amazon EMR, Hadoop, Spark, R, Presto, Hive, Amazon Redshift, Teradata, Vertica, Glue, Data Migration Services)
• 3+ years of implementation and architecture experience in ml ops, model hosting, model validation, data processing. (Amazon SageMaker, Amazon Bedrock, Kubeflow, MLflow)
• Bachelor’s degree

PREFERRED QUALIFICATIONS

• Knowledge of AWS services, market segments, customer base and industry verticals
• Bachelor’s degree in computer science, engineering, mathematics or equivalent
• Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers

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.