Chief Lakehouse Architect – Databricks CoE
Jade Global Open At a glance
C-Suite Data Engineering role at Jade Global. Pune · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Set Databricks architecture patterns for batch, streaming, machine learning and GenAI workloads
- Establish standards for Delta Lake, medallion design and Unity Catalog across Databricks workspaces
- Shape multi-workspace platforms and lead moves from legacy data warehouses to Databricks
- Review and approve Databricks deal designs, while coaching architects and senior engineers
- Build cost governance and improve DBU use, cluster settings, job schedules and workload performance
What you bring
- You bring twelve to fifteen years in data architecture, including five to seven working hands-on with Databricks and Spark
- At least three years designing enterprise Databricks platforms and managing costs at scale
- You can tune Spark performance and work with Delta Lake internals, Databricks workflows and cloud-native platforms
Who this fits
This role suits a senior data architect who can set enterprise Databricks direction, advise clients and leadership, and mentor technical teams. The position is based in Pune, India.
From the employer
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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