Principal Consultant – Data Intelligence

Location: Melbourne, Sydney

Department: Data Intelligence

Location Type: HYBRID

Employment Type: FULL_TIME

• Architect and oversee the implementation of scalable cloud data platforms on AWS using services including S3, Glue, Redshift, Lake Formation, Kinesis, Lambda, and Step Functions.
• Lead solution design and technical governance across Databricks (Delta Lake, Unity Catalog, MLflow) and/or Snowflake (Snowpark, Snowpipe, data sharing, dynamic tables).
• Define data modelling standards and patterns, star/snowflake schemas, medallion/lakehouse architecture, data vault, appropriate to client context.
• Set and enforce engineering best practices: CI/CD for data pipelines, code review standards, testing frameworks, and documentation.
• Oversee data transformation workstreams using dbt, PySpark, or SQL, ensuring quality and maintainability.
• Guide platform and tooling selection decisions, producing clear business cases and technical trade-off analyses for clients.
• Drive data governance, lineage, and cataloguing implementation using tools such as AWS Glue Data Catalog, Unity Catalog, or Collibra.
• Provide architectural oversight on streaming and real-time data use cases (Kafka, Kinesis, Spark Streaming) where applicable.
• Team Leadership & Mentoring
• Taking a leadership role in presales (EOI, RFI, RFP) activities, presenting solutions to our clients and answering questions in a pre sales environment

• 7–10+ years in data engineering, data architecture, or analytics roles, with at least 3 years in a consulting or professional services environment.
• Proven track record of leading complex data platform deliveries end-to-end, with full accountability for outcomes.
• Deep hands-on AWS expertise: S3, Glue, Redshift, Athena, Lake Formation, Lambda, Kinesis, IAM, CloudWatch.
• Advanced proficiency in Databricks (Delta Lake, Unity Catalog, Spark optimisation) and/or Snowflake (Snowpark, performance tuning, data sharing).
• Strong Python and/or Scala development skills for data engineering workloads at scale.
• Expert-level SQL with experience in query optimisation across distributed systems.
• Experience with dbt for transformation pipelines in production environments.
• Demonstrable experience engaging senior stakeholders (Director/VP/C-suite) and translating business strategy into data solutions.
• Strong commercial awareness: ability to manage budgets, write proposals, and contribute to practice growth.
• Excellent written and verbal communication skills; confident presenting to both technical and executive audiences.
• Experience mentoring or leading small technical teams in a delivery context.
• Previous Consulting experience within enterprise environments including pre sales