Chief Lakehouse Architect

Jade Global; Mumbai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Jade Global is seeking a Chief Lakehouse Architect for the Databricks CoE in Mumbai to define enterprise-grade Lakehouse standards and drive cost governance across client and internal workloads.

You will design reference architectures for batch, streaming, ML and GenAI, set Delta Lake and Unity Catalog standards, and lead multi-workspace platform implementations. Mentoring senior engineers and guiding migrations are key parts of this role.

Qualifications

• 1215 years in data architecture
• 57 years hands-on Databricks & Apache Spark
• 3+ years designing enterprise Databricks platforms, managing Databricks costs at scale

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

Skills

Databricks internals

Spark tuning

Delta Lake internals

Databricks Jobs

CI/CD IaC

Cloud Databricks

Cluster auto-scaling

DBU pricing

Cloud billing tools

Cost optimization

Tools

Databricks

Unity Catalog

Delta Lake tooling

Cloud cost tools

CI/CD tooling

Job description

Overview

Chief 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.

Responsibilities

Define 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 strategies

Experience

1215 years in data architecture57 years hands-on Databricks & Apache Spark3+ years designing enterprise Databricks platforms, managing Databricks costs at scale

Skills

Databricks 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 workloads

Certifications (Preferred)

Databricks Data Engineer ProfessionalFinOps Practitioner .