Specialist Solutions Architect, Data Analytics & AI

Specialist Solutions Architect, Data Analytics & AI at Amazon Web Services (AWS)

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. Specialist SSAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as blogs and workshops for customers, partners, and the AWS Technical Field.

Data analytics SSAs combine technical skills in data, analytics, AIML with 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, Data Analytics & AI 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.

Specialist Solutions Architects are part of the Amazon Global Sales Organization (AGS) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam

Key Job Responsibilities

• Design best in class data analytics 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.
• Thought Leadership - Evangelize and share best practices through forums such as AWS blogs, 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.

A Day in the Life

As a Specialist Solutions Architect, Data Analytics & AI, you will engage with customers, designing solutions, providing technical guidance, and collaborating with internal AWS teams. Your focus will be on solving complex data challenges and driving successful cloud adoption for customers in New Zealand.

About The Team

This role is part of the Data and AI specialist team for Australia and New Zealand. As a member of this team you will work with customers and be based out of our Auckland offices. You will focus on customers across New Zealand, working directly with customers across industry verticals, from large Enterprises to start-ups, across all stages of their cloud journey.

Basic Qualifications

• 10+ years of design, implementation, or consulting in applications and infrastructures experience
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 7+ years of implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios. (e.g. Amazon EMR, Hadoop, Spark, R, Presto, Hive, Amazon Redshift, Teradata, Vertica, Glue, Data Migration Services)

Preferred Qualifications

• 5+ years of infrastructure architecture, database architecture and networking experience
• 3+ years of implementation and architecture experience in ml ops, model hosting, model validation, data processing. (Amazon SageMaker, Amazon Bedrock, Kubeflow, MLflow)
• Knowledge of data and AI services and solutions (e.g. data lakes, data warehouses, big data, search, streaming, machine learning and GenAI) and their architecture and infrastructure needs

Key skills/competency

• Data Analytics
• AI/ML
• Cloud Architecture
• Solution Design
• Big Data
• Data Warehousing
• AWS Services
• Customer Engagement
• Technical Sales
• Thought Leadership