AWS Data Engineer

About the role

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

What you'll do

• Define and drive enterprise data engineering strategy aligned with organizational objectives and data modernization initiatives
• Establish data engineering standards, governance frameworks, and best practices across teams
• Lead the design of enterprise-scale data processing architectures using PySpark and modern data platform technologies
• Define enterprise standards for Snowflake and Delta Lake-based data platforms supporting analytical and operational workloads
• Drive real-time and event-driven data architecture initiatives using Apache Kafka or Amazon Kinesis

What you need

• AWS
• SQL
• Spark
• Databricks
• LLMs
• Snowflake

Good to have

• DynamoDB
• Kafka
• Airflow