Sr. Analytics Engineer (Brazil and Argentina Only)

Role overview As a senior analytics engineer, you’ll shape and scale the data models that turn complex source data into dependable datasets for reporting and decision-making. You’ll lead work on dimensional models, shared metric definitions, and semantic data layers, partnering with business and technical stakeholders while helping set engineering standards and mentor teammates. The role is open to candidates based in Brazil or Argentina, and applications and résumés must be in English.

Responsibilities - Translate business priorities into analytics architecture, incorporating context, governance, and self-service access. - Design, document, and maintain dimensional warehouse models, standardized metrics, transformation logic, and BI datasets. - Build and govern data models and semantic layers that support analytics and AI/ML integrations. - Establish data quality checks, automated testing, lineage tracking, performance and cost improvements, and pipeline alerts. - Refactor fragmented or legacy data logic into modular, scalable transformation workflows. - Set governance and access standards, maintain trusted metric definitions, and mentor other engineers.

Requirements - Bachelor’s degree in computer science, data science, information systems, or a related field, or equivalent practical experience. - Six or more years of experience in analytics engineering, data engineering, or enterprise data modeling. - Track record delivering production-grade transformation workflows and enterprise semantic models. - Strong knowledge of dimensional modeling, including star schemas and Kimball methods, plus dbt and semantic layer tools. - Advanced SQL, dbt, Snowflake, Python, and Git skills, with experience in BI platforms such as Looker or Tableau. - Software engineering practices for data, including modular design, CI/CD, documentation, and performance tuning. - Experience modeling business domains such as CRM, marketing platforms, product usage, and semi-structured data. - Strong communication and problem-solving skills, with a focus on data quality, governance, and consistent metrics.

Benefits and work setup Interviews are conducted remotely. The stated hiring locations are Brazil and Argentina; candidates based in the United States are not being considered. The interview process includes a recruiter screen, hiring manager conversation, team interview, and technical interview.