A field guide for Delivery Managers, Program Managers and TPMs who own data platform programs without writing the code. Data programs rarely fail because of code. They fail at handoffs, incidents with no clear lead, unexplained cloud bills, and bad news reaching executives the wrong way.

This book gives delivery leaders the technical fluency to ask sharp questions and the playbook to act on the answers:
• Trace data from source to boardroom across ingestion, lake, compute, warehouse and BI
• Run production with severity models, Sev-1 playbooks, RCA templates and executive updates
• Measure what matters: SLAs, SLOs and SLIs, decision-driving KPIs, and cloud cost control
• Prove data quality with reconciliation rules, quarantine and stop-the-pipeline calls
• Speak the stack: Azure Data Factory, ADLS, medallion architecture, Databricks, Snowflake, Power BI, security and multi-cloud migration
• Lead stakeholders through conflicting priorities, delays, vendor dependencies and capacity trade-offs

Every chapter closes with Executive Interview Readiness questions and model STAR answers.

Volume 1 of The Data Platform Interview Bible.