Delivery Consultant - Data

Amazon Amazon · Big Tech · Arlington, VA · Project/Program/Product Management--Technical

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable and secure solutions, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires strong skills in cloud architecture, data ingestion, data engineering pipelines, data transformations using Spark, and software development lifecycle best practices. Experience with AWS services, performance optimization, and cost management is preferred.

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 migration 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

  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • 3+ years experience in cloud architecture, designing and implementing cloud solutions.
  • Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark API and SparkSQL to implement data lake architectures
  • Strong programming skills in both Python and Scala
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience

Nice to have

  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Experience in performance optimization and cost management for cloud environments
  • Experience presenting technical solutions to diverse audiences in pre-sales environments
  • 3+ years of experience in designing and implementing large scale Data Lake and Data Warehouse in the cloud

What the JD emphasized

  • 3+ years experience in cloud architecture, designing and implementing cloud solutions.
  • Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark API and SparkSQL to implement data lake architectures
  • Strong programming skills in both Python and Scala
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience
  • 3+ years of experience in designing and implementing large scale Data Lake and Data Warehouse in the cloud