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About the role

Sr. Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal at Amazon Web Services, Inc.

Required Skills

awscloud architecturedata engineeringmachine learningdatabasesecurityserverlessmigrationconsulting

About the Role

Senior Delivery Consultant role designing and implementing complex AWS solutions for federal customers. Responsible for technical guidance, migration strategies, and acting as trusted advisor on cloud technologies. Requires TS/SCI clearance and extensive AWS architecture experience.

Key Responsibilities

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

Required Skills & Qualifications

Must Have:

  • 7+ years of technical specialist, design and architecture experience
  • 5+ years of database experience (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
  • 7+ years of consulting, design and implementation of serverless distributed solutions experience
  • 5+ years of software development with object oriented language experience
  • 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
  • 7+ years of external or internal customer facing, complex and large scale project management experience
  • 5+ years of cloud architecture and solution implementation experience
  • Bachelor's degree, or 7+ years of professional or military experience
  • US Citizen with active TS/SCI security clearance with polygraph

Nice to Have:

  • Degree in advanced technology, or AWS Professional level certification
  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Knowledge of security and compliance standards including HIPAA and GDPR
  • Experience in performance optimization and cost management for cloud environments
  • Experience communicating technical concepts to diverse audiences in pre-sales environments

Benefits & Perks

  • Flexible work hours and arrangements
  • Mentorship and career growth resources
  • Inclusive team culture with employee-led affinity groups
  • Medical, financial, and other benefits
  • Work-life harmony culture