Chief Lakehouse Architect – Databricks CoE

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Analytics • Business Intelligence • Consulting • App development
Award-winning, US-headquartered partner driving cloud, integration, and AI-led transformation with 2,000+ employees.
The Role
The Chief Lakehouse Architect will define and implement Databricks Lakehouse architecture, optimize costs, mentor engineers, and design enterprise solutions.
Summary Generated by Built In
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

Skills Required

  • 12-15 years in data architecture
  • 5-7 years hands-on Databricks & Apache Spark
  • 3+ years designing enterprise Databricks platforms
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The Company
HQ: San Jose, California
1,794 Employees
Year Founded: 2003

What We Do

A Trusted Partner for Every Digital Enterprise Bringing Value. Jade Global is a global IT consulting company with two decades of industry experience that helps the world’s leading businesses and organizations build their digital core, optimize their operations, and accelerate revenue growth. We are headquartered in San Jose, California; Jade Global operates with offices in 13 locations across North America, the UK, and Asia. Renowned as a trusted "partner of choice" for businesses in Healthcare & Life Sciences, Hi-tech, Retail, Manufacturing, and Financial Industries, Jade Global has innovated 30+ industry-specific solutions. Whether your focus is harnessing or expanding Gen-AI, AI, and digital capabilities, transforming operating models, or accelerating insightful decision-making, we’re here to help you gain and maintain a competitive edge with efficient, sustainable models. At Jade Global, it’s all about outcomes—your outcomes—and delivering the results you desire, tailored to your unique requirements

Why Work With Us

We are Great Place to Work Certified company and Jade focus on people first approach.

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