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Worldpackers

Data Lead

Worldpackers

Data Lead leading the data area at Worldpackers. Building governance, dashboards, and AI for impactful travel experiences.

Posted 7/14/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, team management, and technical execution within data projects, particularly in the travel industry. Proficient in advanced SQL, Python, and modern BI tools to drive data-driven decision-making.

Highest-signal resume keywords
Advanced SQLPython For Analysis And AutomationDBTCloud Data Warehouse (BigQuery Or Snowflake)Data Ingestion Tools (Airbyte, Fivetran)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Advanced SQLPython For Analysis And AutomationDBTCloud Data Warehouse (BigQuery Or Snowflake)Data Ingestion Tools (Airbyte, Fivetran)Data GovernanceMetrics AlignmentTechnical ExecutionData Roadmap PrioritizationTeam Management
Soft Skills
LeadershipPerformance ManagementCollaborationCommunication
Tools & Technologies
Modern BI Tools (Metabase, Looker)
Industry Keywords
Travel CompaniesMarketplacesProduct Company

Tech Stack

Tools & technologies
BigQueryPythonSQL

About the role

Key responsibilities & impact
  • Contribute directly to the technical execution of the data team’s deliverables
  • Refine and prioritize the data roadmap
  • Align metrics and definitions with domain owners across the business
  • Act as the technical interface between the data team and Engineering
  • Continuously reevaluate the stack, architecture, and use of AI
  • Ensure data governance
  • Lead team management (performance reviews, hiring, promotions)
  • Provide leadership visibility into objectives, KPIs, and deliverables

Requirements

What you’ll need
  • Experience in travel companies or marketplaces
  • Experience at a product company (not consulting)
  • Experience coordinating data teams or data projects
  • Formal people management (hiring, performance reviews, promotions)
  • Experience with DBT and a cloud data warehouse (BigQuery or Snowflake)
  • Data ingestion tools (Airbyte, Fivetran, or similar)
  • Advanced SQL
  • Python for analysis and automation
  • Modern BI tools (Metabase, Looker, or similar)

Benefits

Comp & perks
  • Data infrastructure
  • Data governance
  • Dashboards and AI