Databricks Solution Architect F2F Interview

ROLE_DESCRIPTION -Databricks: Lakehouse, Delta Lake, Unity Catalog, DLT, Databricks SQL, MLflowBig Data: Spark, PySpark, Scala, Kafka, Streaming ArchitecturesCloud: Azure Databricks, ADF, ADLS, Synapse, AWS S3, Glue, EMR, RedshiftData Warehousing: Snowflake, Data Vault, Star/Snowflake Schema, CDCIntegration: REST APIs, Event-Driven Architecture, Enterprise SaaS/ERP/CRM integrationsDevOps: Terraform, Azure DevOps, GitHub Actions, Jenkins, CI/CDGovernance: Data Quality, Metadata Management, Security & CompliancePreferred: Databricks, Azure, AWS, and TOGAF certifications with experience in BFSI, Capital Markets, Asset Management, or large enterprise environments.Roles & ResponsibilitiesWe are seeking a Databricks Solution Architect with 15+ years of experience in designing and delivering enterprise-scale data platforms, cloud modernization initiatives, and complex system integrations. The ideal candidate will lead architecture strategy, define scalable Lakehouse solutions, and collaborate with business, engineering, and enterprise stakeholders to enable data-driven transformation.Key ResponsibilitiesArchitect and implement enterprise data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and Spark.Design scalable batch, streaming, CDC, and real-time data integration solutions across enterprise applications.Lead migration of legacy data warehouses, Hadoop ecosystems, and on-prem platforms to modern cloud architectures.Define data governance, security, lineage, metadata management, and compliance frameworks.Provide technical leadership, architecture governance, solution reviews, and mentoring for engineering teams.Partner with business stakeholders to build analytics, AI/ML, and GenAI-ready data ecosystems.