Senior Analytics Engineer, Brazil, Argentina
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Job Description
Senior Analytics Engineer building Niche’s school-search data platform and semantic layer. Architecting dbt models, enterprise analytics, and BI datasets for Brazil and Argentina.
Responsibilities:
- Architect, build, and scale enterprise data models
- Translate complex raw data into clean, business-ready datasets
- Drive data accuracy, documentation, observability, semantic consistency, and warehouse performance
- Lead the design and maintenance of modular dbt models, semantic layers, and BI views
- Partner with executive stakeholders to translate business strategy into analytics architecture
- Architect and maintain Kimball dimensional models, metric definitions, warehouse transformation logic, and scalable BI datasets
- Design and govern production-grade data models powering the enterprise semantic layer and AI/ML integrations
- Establish data quality, automated testing, lineage tracking, cost optimization, and proactive alerting across dbt pipelines
- Refactor legacy business logic and fragmented query architectures into scalable semantic pipelines
- Drive data governance, metric standardization, secure access controls, and single-source-of-truth definitions
- Mentor junior and mid-level engineers
- Lead analytics engineering initiatives, root-cause analysis, architectural enhancements, critical platform workstreams, domain models, and technical roadmap development
- Report to the Manager, Data Engineering (Core)
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent practical experience)
- 6+ years of experience in analytics engineering, data engineering, or enterprise data modeling
- Proven track record of architecting, deploying, and maintaining mission-critical, production-grade data transformation workflows and enterprise semantic models
- Expertise in dimensional data modeling techniques, including Star Schema and Kimball methodology
- Experience with dbt and advanced semantic layer tools
- Extensive experience modeling complex business domains, product usage metrics, and unstructured/semi-structured JSON data for enterprise BI consumption
- Strong software engineering background applied to data, including advanced Git workflows, CI/CD, modular architecture design, and comprehensive code documentation
- Advanced proficiency in SQL, dbt macros/packages/performance tuning, Snowflake, Python, Git, and modern BI platforms such as Looker or Tableau
- Deep expertise with Google Analytics, marketing/ad/social media platforms, CRM/Salesforce systems, and custom semantic metrics
- Comprehensive understanding of modern data stack architecture, transformation strategies, semantic layer implementation, automated testing, governance, and BI integrations
- Self-directed technical leadership, strategic problem solving, attention to detail, exceptional communication, metric standardization, performance optimization, and rigorous technical documentation
- Only applications/resumes written in English will be accepted
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