Lead Data Platform Engineer — AWS, PySpark & Pipelines
Summary
Lead a small team to build and maintain scalable data pipelines on AWS/Databricks using PySpark, setting architecture standards and guiding ETL/ELT workflows for a SaaS product.
Loop IQ is seeking a data engineer leader to own the data platform end to end, from ingestion to models, guiding a small team of data engineers in Melbourne. You will set standards, drive architecture decisions, and ensure delivery aligns with product goals in a SaaS environment.
The role combines hands-on coding with leadership: building reusable PySpark frameworks, designing ETL/ELT pipelines on AWS with Databricks, and collaborating with software, product, and data governance teams to deliver