Chief Lakehouse Architect

OverviewChief Lakehouse Architect Databricks CoE. Principal architect responsible for defining and executing enterprise-grade Databricks Lakehouse architecture standards, engagements and guiding complex solution designs. Drive cost optimization and financial governance for Databricks platforms across clients and internal workloads. ResponsibilitiesDefine Databricks reference architectures (batch, streaming, ML, GenAI)Own standards for Delta Lake, medallion architecture, Unity CatalogDesign multi-workspace Databricks platform architecturesLead Databricks migrations from legacy data warehouses programsDesign, Review and approve architecture for all Databricks dealsMentor architects and senior Databricks engineersDefine Databricks FinOps frameworkOptimize cluster policies, DBU usage, and job schedulingWork with engineering teams on performance-to-cost optimizationAdvise leadership and clients on Databricks cost strategiesExperience1215 years in data architecture57 years hands-on Databricks & Apache Spark3+ years designing enterprise Databricks platforms, managing Databricks costs at scaleSkillsDatabricks platform internals & optimizationSpark performance tuning and scalabilityDelta Lake internals (ACID, compaction, Z-order)Databricks Jobs, Workflows, CI/CD, IaCCloud-native Databricks (AWS / Azure / GCP)Cluster tuning & auto-scaling strategies, Databricks DBU model & pricingCloud billing & monitoring toolsCost optimization patterns for Spark workloadsCertifications (Preferred)Databricks Data Engineer ProfessionalFinOps Practitioner .