Amazon
Sr. Delivery Consultant- Data & Analytics, WWPS, ProServe Non Profits Organization (NPO)
$154K–$208K
Herndon, VA +2 · Senior · Full-time · Posted Jun 2, 2026
- Location
- Herndon, VA
Chicago, IL
Dallas, TX - Experience
- 7+ years technical specialist, design and architecture; 5+ years database and cloud architecture/solution implementation; 3+ years cloud-based solution, system, network and operating system; 7+ years customer-facing complex, large-scale project management.
- Education
- Bachelor's degree, or 7+ years of professional or military experience.
About the job
Designs and delivers cloud data architectures and analytics solutions for public-sector customers, advising them on data engineering, migration, and modernization.
What you'll do
- Translate customer business outcomes and requirements into data architecture and engineering solutions; design and build secure, scalable analytics applications.
- Assess existing infrastructure and recommend data migration and modernization strategies, managing and communicating technical risks and trade-offs.
- Advise customers on data technologies and industry trends; mentor colleagues and create reusable knowledge artifacts.
What they ask for
- 7+ years of technical specialist, design and architecture experience; 5+ years of cloud architecture and solution implementation 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.
- 7+ years of external or internal customer facing, complex and large scale project management experience.
- Bachelor's degree, or 7+ years of professional or military experience; experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code.
Nice to have
- Degree in advanced technology, or AWS Professional level certification.
- Knowledge of AWS services; security and compliance standards including HIPAA and GDPR; or experience with cloud optimization, CI/CD, data modeling, pipelines, or cloud migration.
Pay
153,600.00 - 207,800.00 USD annually (base salary)
Tools
SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis, AWS, Python
AI focus
Supports public-sector customers deploying data and ML solutions; preferred knowledge includes machine learning technologies.
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