We are seeking a Senior Cloud Data Architect to design, optimize, and implement cutting-edge AWS data solutions, focusing on data infrastructure, pipeline architecture, and data flow optimization across cross-functional teams. The ideal candidate will have extensive experience working with AWS data tools such as Kinesis, Redshift, and Glue, as well as ETL development in SQL, Python, and Java/Scala. You will lead large data projects, mentor project teams, and drive the design of self-service data layers, data governance, and scalable solutions. The role also involves collaborating with presales teams to define client requirements and solutions.

Requirements:

• 10+ years in Data Engineering
• Expertise in AWS data stack, streaming data (Kinesis/Kafka), and SQL/ETL development
• Experience with data governance architectures (data mesh, data fabric)
• Familiarity with Snowflake, Databricks, or Azure/GCP data stacks is a plus

No travel required.