Chief Lakehouse Architect – Databricks CoE

Job description

Chief Lakehouse Architect – Databricks CoE1 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. Key Responsibilities Define Databricks reference architectures (batch, streaming, ML, GenAI) Own standards for Delta Lake, medallion architecture, Unity Catalog Design multi-workspace Databricks platform architectures Lead Databricks migrations from legacy data warehouses programs Design, Review and approve architecture for all Databricks deals Mentor architects and senior Databricks engineers Define Databricks FinOps framework Optimize cluster policies, DBU usage, and job scheduling Work with engineering teams on performance-to-cost optimization Advise leadership and clients on Databricks cost strategies Experience 12–15 years in data architecture 5–7 years hands-on Databricks & Apache Spark 3+ years designing enterprise Databricks platforms, managing Databricks costs at scale Skills Databricks platform internals & optimization Spark performance tuning and scalability Delta Lake internals (ACID, compaction, Z-order) Databricks Jobs, Workflows, CI/CD, IaC Cloud-native Databricks (AWS / Azure / GCP) Cluster tuning & auto-scaling strategies, Databricks DBU model & pricing Cloud billing & monitoring tools Cost optimization patterns for Spark workloads Certifications (Preferred) Databricks Data Engineer Professional FinOps Practitioner