Senior Analytics Engineer, Brazil, Argentina

This is a fully remote position, open to applicants in Brazil, +1 more country.

📋 Description

• Design, construct, and enhance enterprise data models, converting intricate raw data into organized, business-ready datasets.

• Ensure data accuracy, thorough documentation, observability, semantic consistency, and optimal warehouse performance.

• Oversee the creation and upkeep of modular dbt models, semantic layers, and BI views.

• Collaborate with executive stakeholders to translate business strategies into analytics architecture, governance, and self-service functionalities.

• Develop and sustain Kimball dimensional models, standardized metric definitions, warehouse transformation logic, and scalable BI datasets.

• Design and manage production-grade models that power the enterprise semantic layer and AI/ML integrations.

• Implement data quality measures, automated testing, lineage tracking, cost optimization, and alert systems across dbt pipelines.

• Refine outdated business logic and disjointed query architectures into scalable semantic pipelines.

• Promote data governance, metric standardization, secure access controls, and provide mentorship to junior and mid-level engineers.

• Lead analytics platform initiatives, take ownership of domain models, perform root-cause analyses, and influence the technical roadmap.

• Report to the Manager, Data Engineering (Core).

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related discipline (or equivalent hands-on experience).

• Over 6 years of experience in analytics engineering, data engineering, or enterprise data modeling.

• Demonstrated ability in architecting, deploying, and maintaining essential production-grade data transformation workflows and enterprise semantic models.

• Proficient in dimensional data modeling techniques (Star Schema, Kimball methodology), dbt, and advanced semantic layer tools.

• Significant experience modeling complex business domains, product usage metrics, and unstructured/semi-structured data (JSON) for enterprise BI purposes.

• Solid software engineering experience applied to data, encompassing advanced git workflows, CI/CD, modular architecture design, and thorough code documentation.

• Advanced skills in SQL, dbt, Snowflake, Python, Git, and contemporary BI platforms such as Looker or Tableau.

• In-depth knowledge of Google Analytics, marketing/ad/social media platforms, CRM/Salesforce systems, and custom semantic metrics.

• Comprehensive grasp of modern data stack architecture, transformation strategies, semantic layer implementation, automated testing, governance, and BI integrations.

• Only applications/resumes submitted in English will be considered.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work opportunities.

• Professional development and training programs.

• Generous vacation and leave policies.