About this role
Architect, Data and AI Engineering at Slalom. Location: Melbourne, Victoria, Australia. Role: designing architecture, building platforms, facilitating sessions Requirements: Hands-on data architecture and engineering experience across cloud platforms (AWS, Azure, GCP); expertise with modern data platforms, lakehouse, data warehouses, streaming, orchestration, and programming (Python/Scala/Java/SQL). Strong consultative and design skills. Category: Data and Analytics Seniority: Senior Level Tools: Amazon Web Services, Microsoft Azure, Google Cloud Platform, Databricks, Apache Spark, Apache Iceberg, Delta Lake, Databricks SQL, Snowflake, Amazon Redshift, Microsoft Azure Synapse Analytics, Fivetran, dbt, Python, Scala, Java, SQL, MongoDB, Kubernetes, Databricks ML, MLflow, Databricks Structured Streaming, Apache Kafka, Sigma, Microsoft Power BI, Tableau, Databricks SQL Dashboards, Databricks Workflows, Apache Airflow Commitment: Full Time Workplace: Onsite Languages: English