Data Platform Engineer - Databricks & Revenue Intelligence

Enboarder; Sydney; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Job summary

ProfitPeak is seeking an experienced data platform engineer to own the customer-facing Databricks lakehouse and the data products that power order attribution, revenue intelligence and marketing analytics for retail brands. You will design pipelines, ensure data freshness and reliability, and own the roadmap for our data products.

You will work hands-on with Databricks, Lakeflow, ClickHouse and MLflow, ensuring low-latency serving and secure, scalable data contracts across teams.

Qualifications

• Experience building production data platforms on Databricks (Delta Lake, Unity Catalog, Lakeflow, Spark SQL, PySpark).
• Experience shipping multi-tenant, customer-facing data products where correctness is the product.

Responsibilities

• Architect and run the customer-facing data platform on Databricks with governance built in from the start.
• Design and operate the serving layer on ClickHouse for millisecond responses.
• Own the roadmap for data products: attribution, revenue intelligence and marketing analytics.

Skills

Databricks

Multi-tenant data products

Streaming ingestion

MLOps

Terraform/Databricks Asset Bundles

Tools

Delta Lake

Unity Catalog

Lakeflow

Spark SQL / PySpark

ClickHouse

Job description

ProfitPeak is seeking an experienced data platform engineer to own the customer-facing Databricks lakehouse and the data products that power order attribution, revenue intelligence and marketing analytics for retail brands. You will design pipelines, ensure data freshness and reliability, and own the roadmap for our data products.

You will work hands-on with Databricks, Lakeflow, ClickHouse and MLflow, ensuring low-latency serving and secure, scalable data contracts across teams.