Amazon
Professional Services III - AMZ13521.11
Seattle, WA · Full-time · Posted Sep 1, 2026
- Experience
- 3 years after a Master’s degree, or 5 progressively responsible years after a Bachelor’s degree, in IT platform implementation or a related occupation; additional 3-year experience requirements are listed.
- Education
- Master’s degree or foreign equivalent in Computer Science, Engineering, Information Technology, Mathematics, or a related field; alternatively, a Bachelor’s degree or foreign equivalent in one of those fields.
About the job
Develops and delivers AWS data, analytics, and AI solutions for customers, including technical engagements, cloud migrations, and application development.
What you'll do
- Implement customer solutions involving machine learning, IoT, data processing, and business intelligence; conduct on-site technical engagements.
- Help partners and customers adopt AWS services and develop data-driven business insights and solutions.
- Work with AWS sales, engineering, and support teams to relay customer needs and inform technology roadmaps.
What they ask for
- Master’s degree or foreign equivalent in a listed or related field plus 3 years of IT platform implementation experience, or a Bachelor’s degree or foreign equivalent plus 5 progressively responsible years in that area.
- 3 years of Data Lake/Hadoop platform implementation and hands-on Hadoop/Spark implementation and performance tuning.
- 3 years with one or more of Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, or Avro, and 3 years with one or more of Hive, Impala, Spark SQL, or Presto.
- 3 years developing software in Java or Python.
Pay
$153600 - $207800 (yr) (base pay)
Tools
Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR, Amazon Redshift, Hadoop/Spark
AI focus
Develop and implement AI and machine-learning solutions for customers.
Model-written summary · the original posting is authoritative