Lead Analytics Engineer

📋 Description Data modeling and single source of truth: Design, build, and maintain clean, tested, and Semantic layer and self-service analytics: Develop and maintain semantic layers and data catalogs AI-ready data context: Enrich schemas, metadata, and repository documentation to provide context Data quality and observability: Establish and implement testing frameworks, including dbt tests Technical leadership: Define and promote development standards, DataOps practices, pull request Cross-functional collaboration: Partner with Data Platform and Engineering teams to integrate data 🎯 Requirements At least 6 years of experience working in data environments, including a minimum of 3 years At least 2 years of experience leading Analytics Engineering teams or specialized engineering Advanced SQL skills and strong hands-on experience with dbt or Dataform in cloud data warehouse Experience with one or more platforms such as Google Cloud Platform (GCP) BigQuery, Snowflake, or Practical experience with analytical data modeling methodologies, including Kimball, Star Schema Proficiency with Git and version control, experience implementing CI/CD workflows for data through 🎁 Benefits Fully remote work: The position is advertised as fully remote within Latin America; eligibility for Purpose-driven work: Contribute to a financial inclusion mission focused on expanding access to Trust-based culture: Work in an environment that emphasizes intentional decision-making Creativity and curiosity: Bring forward new ideas, explore innovative approaches, and contribute to Inclusive collaboration: Participate in a culture that values every team member's voice, encourages Impact-focused environment: Help build reliable data foundations that support better business