Cloud data and analytics platforms - deep expertise in at least one, credible familiarity with a second: Google Cloud (BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, Looker, Vertex AI), Azure (Synapse, Fabric, ADF, Purview, Azure ML) or AWS (Redshift, Glue, EMR, Kinesis, SageMaker); Databricks and/or. DataOps and platform reliability: CI/CD for data pipelines (GitHub Actions / Azure DevOps), Terraform, Kubernetes, data observability and lineage, and FinOps for cost and performance optimisation of large.