Helpful but not required: SaaS/multi-tenant or cell-based architecture, DuckDB, ML/AI-enabled analytics tools (e.g., SageMaker), a regulated/high-governance data environment, experience hiring or growing a data team, presenting technical roadmaps to non-technical stakeholders, multi-account AWS at org scale, or familiarity with the education technology domain. Demonstrated experience owning, not just contributing to, the technical direction and architecture of a scalable cloud data platform in production; you can point to a specific system you were accountable for end-to-end, built on technologies such as Kinesis, Data Firehose, Flink, Lambda, EventBridge, SNS/SQS, Redshift, Athena, Glue, EMR, S3, DynamoDB, or comparable.