- 7+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience defining data center system-level architecture, documenting performance and equipment requirements, creating and communicating conceptual designs, and creating and maintaining project documentation
- Experience working with technical and business stakeholders from global cross-functional teams
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Deep hands-on experience with analytics technologies, including data warehousing (e.g. Redshift, Snowflake, BigQuery, Teradata), data lakes, ETL/ELT pipelines, streaming (Kafka, Kinesis, Flink), search (Elasticsearch/OpenSearch), and data governance.
- Experience and demonstrated industry leadership in the fields of database or data warehousing, data sciences and big data processing
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification, or Bachelor's degree
- Experience designing agent-ready data platforms (open lakehouse, Iceberg, zero-ETL, RAG, semantic search)
- Experience across multiple Southeast Asian markets and building reusable assets at scale
- Fluency in English required; a Southeast Asian language (e.g. Bahasa Indonesia, Thai, Vietnamese) is a plus
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https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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