Senior Analytics Engineer, Brazil, Argentina

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

📋 Description

• Design, develop, and scale enterprise data models.

• Convert intricate raw data into organized, business-ready datasets.

• Enhance data accuracy, documentation, observability, semantic consistency, and warehouse performance.

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

• Collaborate with executive stakeholders to align business strategy with analytics architecture.

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

• Create and manage production-grade data models that support the enterprise semantic layer and AI/ML integrations.

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

• Revise legacy business logic and fragmented query architectures into scalable semantic pipelines.

• Promote data governance, metric standardization, secure access controls, and definitions of a single source of truth.

• Mentor junior and mid-level engineers.

• Spearhead analytics engineering projects, root-cause analysis, architectural improvements, vital platform workstreams, domain models, and technical roadmap development.

• Report directly to the Manager of Data Engineering (Core).

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline (or equivalent practical experience).

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

• Demonstrated success in architecting, deploying, and maintaining mission-critical, production-grade data transformation workflows and enterprise semantic models.

• Proficient in dimensional data modeling techniques, such as Star Schema and Kimball methodology.

• Experience with dbt and advanced semantic layer tools.

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

• Strong software engineering background applied to data, including advanced Git workflows, CI/CD, modular architecture design, and thorough code documentation.

• Advanced skills in SQL, dbt macros/packages/performance tuning, Snowflake, Python, Git, and modern BI platforms like Looker or Tableau.

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

• In-depth understanding of contemporary data stack architecture, transformation strategies, semantic layer implementation, automated testing, governance, and BI integrations.

• Self-motivated technical leadership, strategic problem solving, meticulous attention to detail, exceptional communication skills, metric standardization, performance optimization, and thorough technical documentation.

• 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 options.

• Opportunities for professional development and training.

• Collaborative and inclusive company culture.