Lead Data Architect
@ Booksy

Hybrid
$150,000
Hybrid
Full Time
Posted 28 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @booksy.com
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Job Details

About the Role

A career at Booksy means you’re part of a global team focused on empowering entrepreneurs and helping people feel fantastic every day. As a Lead Data Architect (Governance) reporting to the Director of Analytics, you will design the structures, standards, and systems that transform raw data into a high-performance analytical ecosystem.

Key Responsibilities

  • Design and build data warehouses using dimensional modeling (Kimball methodology).
  • Implement solutions on Google Cloud Platform with BigQuery optimization and cost management.
  • Develop advanced SQL transformations and production-level dbt pipelines.
  • Build semantic layers with LookML in Looker, ensuring scalability and efficiency.
  • Establish and enforce data governance standards with technical architecture.

What You Bring

You have hands-on experience with data warehousing, cloud infrastructure, and robust data governance. Your systems-thinking mindset and technical expertise across tools like BigQuery, dbt, and Looker will empower teams by ensuring data integrity from source to dashboard.

Benefits & Perks

  • Flexible working hours and remote work options within your country.
  • Be part of the world’s fastest growing beauty marketplace.
  • International environment with teams in 6 countries.
  • A welcoming, inclusive team that supports your growth.

Key skills/competency

  • Data Warehousing
  • Dimensional Modeling
  • Google Cloud Platform
  • BigQuery
  • SQL
  • dbt
  • LookML
  • Data Governance
  • Metadata Management
  • Systems Thinking

How to Get Hired at Booksy

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data architecture projects and cloud experience.
  • Emphasize technical skills: Showcase SQL, dbt, and LookML expertise.
  • Show systems thinking: Detail end-to-end data lifecycle accomplishments.
  • Prepare case studies: Discuss solving ambiguity and technical challenges.

📝 Interview Preparation Advice

Technical Preparation

Review Kimball methodology fundamentals
Learn BigQuery optimization strategies
Practice advanced SQL and dbt pipelines
Study LookML and Looker configurations

Behavioral Questions

Describe handling ambiguity in projects
Explain prioritization in chaotic situations
Discuss cross-team collaboration examples
Share experiences with remote communication

Frequently Asked Questions