✅Comment “DATA” to get the roadmap, interview questions, and how to switch to data architect career in your DMs. Data architecture is not about tools. It’s about clarity. How data flows. Where it’s stored. How it scales. How it stays reliable when traffic spikes and teams grow. Most people jump straight into Spark, Snowflake, Airflow, or Kafka without understanding foundations. That’s why interviews feel random and careers feel stuck. A strong data architect thinks in layers: • Ingestion that doesn’t break • Storage that’s structured and scalable • Processing that’s reliable • Governance that protects the business • Observability that catches issues early This roadmap breaks it down step by step. What to learn. In what order. And why it matters. If you want to move from “writing queries” to “designing systems,” this is your starting point. #DataArchitecture #DataEngineering #DataArchitect #BigData #SystemDesign TechCareers AnalyticsEngineering DataCareers