Chief Lakehouse Architect – Databricks CoE
Pune · Director
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Job description
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
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