Chief Lakehouse Architect - Databricks CoE
ExternalFull-timeOn-site1w ago
ApacheAWSAzureCI/CDGCPLeadership
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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
Requirements
- 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
- 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
Additional Information
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.
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