Jade Global

Chief Lakehouse Architect – Databricks CoE

Engineering

Employment

Full-time

From the employer

Full time

Level

Not stated

Country assessment

Not doable from Austria because it is tied to an office and never says it can be done remotely.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

AWSGCPAzureLLMsCI/CD

Job description

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

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