Sr, Delivery Consultant - Data & Analytics, Professional Services

Amazon Amazon · Big Tech · 10, Thailand +1 · Solutions Architect

This role is for a Senior Delivery Consultant on the AWS Professional Services team. The primary focus is on designing, implementing, and managing AWS solutions for customers, providing technical expertise, and acting as a trusted advisor. While knowledge of AI/ML is a plus, the core of the role is cloud solution architecture and project delivery, not direct AI/ML model development or research.

What you'd actually do

  1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  2. Providing technical guidance and troubleshooting support throughout project delivery
  3. Collaborating with stakeholders to gather requirements and propose effective solutions and strategies
  4. Acting as a trusted advisor to customers on industry trends and emerging technologies
  5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

Required

  • 7+ years of technical specialist, design and architecture experience
  • 7+ years of external or internal customer facing, complex and large scale project management experience
  • 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
  • 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

Nice to have

  • AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
  • AWS Professional level certifications (e.g., Solutions Architect Professional, AWS Certified Generative AI Developer - Professional, AWS Certified Data Engineer) preferred.
  • Experience with automation and scripting (e.g., Terraform, Python)
  • Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
  • Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Knowledge of Data technology stack of AWS and integration with Machine Learning and Generative AI