Chief Lakehouse Architect – Databricks CoE

Jade Global, Inc.; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Jade Global, Inc. is seeking a Chief Lakehouse Architect to lead the design and execution of enterprise-grade Databricks Lakehouse architecture in Pune, Maharashtra. This role requires extensive experience in data architecture and hands-on expertise in Databricks and Apache Spark.

The ideal candidate will define reference architectures, mentor teams, and drive cost-resilience strategies across projects. Excellent leadership and technical optimization skills are paramount for success in this full-time position.

Qualifications

• 12–15 years in data architecture.
• 5–7 years hands-on Databricks & Apache Spark.
• 3+ years designing enterprise Databricks platforms.

Responsibilities

• Define Databricks reference architectures (batch, streaming, ML, GenAI).
• Own standards for Delta Lake and medallion architecture.
• Design multi-workspace Databricks platform architectures.
• Lead Databricks migrations from legacy data warehouses.
• Mentor architects and senior Databricks engineers.

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

Cloud billing & monitoring tools

Cost optimization patterns for Spark workloads

Job description

## Chief Lakehouse Architect – Databricks CoEApplylocations: Pune, Maharashtra: Hyderabad, Telanganatime type: Full timeposted on: Posted Todayjob requisition id: R-104645Chief 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**