Lead Consultant – Data Intelligence
Core
Architect and oversee scalable cloud data platforms on AWS and Databricks/Snowflake, defining data modeling standards and governance for enterprise clients.
Role type
Senior IC data architecture consultant (cloud data platforms)
Builds
Production data platforms, data pipelines, and governance frameworks for Australian organizations
Domain
Cloud data engineering and architecture (AWS, Databricks, Snowflake)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS data services (S3, Glue, Redshift, Kinesis, Lambda), Databricks (Delta Lake, Unity Catalog), Snowflake, Python/Scala, SQL, dbt, data modeling (star/snowflake, medallion), CI/CD for data, stakeholder management, team leadership
Preferred skills
AWS certifications, Databricks certifications, Apache Airflow DAGs, data mesh concepts, enterprise governance tools (Collibra, Alation), ML platforms (SageMaker, MLflow), BI tools (Tableau, Power BI, QuickSight)
Technologies
AWS (S3, Glue, Redshift, Lake Formation, Kinesis, Lambda, Step Functions, Athena, IAM, CloudWatch), Databricks (Delta Lake, Unity Catalog, MLflow), Snowflake (Snowpark, Snowpipe), dbt, PySpark, Kafka, Spark Streaming, Collibra, Tableau, Power BI, QuickSight, Apache Airflow
Responsibilities
Architect and implement scalable cloud data platforms; lead solution design and technical governance; define data modeling standards; enforce engineering best practices (CI/CD, testing); oversee data transformation workstreams; guide tooling selection; drive data governance and lineage; provide architectural oversight on streaming use cases; contribute to pre-sales activities
Seniority
Senior, hands-on IC with team leadership
