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 Skilled

- FinOps Practitioner

📌 Chief Lakehouse Architect – Databricks CoE (India)
🏢 Jade Global
📍 India