Senior Delivery Consultant, Data, Asean Professional Services

Amazon Amazon · Big Tech · Singapore · Solutions Architect

This role focuses on designing and implementing AWS solutions, with a specific emphasis on Data Analytics and Machine Learning, for enterprise clients. The consultant will advise customers on leveraging ML and developing scalable solutions on AWS, conduct workshops, and provide technical leadership throughout the project lifecycle.

What you'd actually do

  1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
  2. Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable Data Analytics and ML solutions on AWS to deliver business value in the most effective way
  3. Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
  4. Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
  5. Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data Analytics and machine learning
  6. Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

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, DevOps Engineer Professional) 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.
  • Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI.
  • Ability to obtain Singapore government security clearance.

What the JD emphasized

  • complex, scalable, and secure AWS solutions
  • Data Analytics and ML solutions on AWS
  • complex industry-specific business concepts
  • large, complex customer engagements
  • Data Analytics and machine learning

Other signals

  • customer-facing
  • design and implement AWS solutions
  • Data Analytics and ML solutions on AWS