Chief Lakehouse Architect – Databricks CoE
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Before you apply
LocationPune, Maharashtra; Hyderabad, Telangana
SeniorityLead
Experience12–15 yrs
Company size1,001–5,000 people
PostedMay 18, 2026 · 5mo ago
Verified live7h ago
May no longer be actively hiring
Posted by the company on May 18, 202671% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Databricks Data Engineer Professional
FinOps Practitioner
Skills
Databricks
Apache Spark
Delta Lake
AWS
Azure
GCP
CI/CD
IaC
Chief 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
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Define Databricks reference architectures (batch, streaming, ML, GenAI)
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Own standards for Delta Lake, medallion architecture, Unity Catalog
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Design multi-workspace Databricks platform architectures
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Lead Databricks migrations from legacy data warehouses programs
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Design, Review and approve architecture for all Databricks deals
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Mentor architects and senior Databricks engineers
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Define Databricks FinOps framework
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Optimize cluster policies, DBU usage, and job scheduling
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Work with engineering teams on performance-to-cost optimization
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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