Senior Data & Analytics Architect

📋 Description

• Own and evolve the Bronze / Silver / Gold data architecture for the Global Metrics ecosystem, and
• Design dimensional, relational, and analytical data models, and define standards for data
• Design scalable data pipelines using Databricks and dbt, working with large-scale datasets and
• Own the design and evolution of the analytics semantic layer, defining scalable frameworks for
• Define and maintain standards for KPI definitions, calculations, dimensions, and business rules
• Document architectural decisions, data models, integration patterns, and technical standards to

🎯 Requirements

• 3+ years of experience in Data Engineering, Analytics Engineering, Data Architecture, Business
• Strong hands-on experience with Databricks and dbt, Advanced SQL, dimensional data modeling, data
• Experience with large-scale datasets and high-volume data ingestion, along with designing and
• Experience with Fivetran or equivalent managed ingestion platforms is preferred, and experience
• Experience designing analytics solutions consumed by BI platforms such as Hex, Tableau, Power BI
• Fluent English; native Spanish and advanced English, or native Portuguese and advanced English.

🎁 Benefits

• Own the architecture supporting global Customer Support analytics and data products.
• Work extensively with Databricks, dbt, Spark, Fivetran, and large-scale datasets.
• Design and evolve high-volume data ingestion and analytical pipelines.
• Influence how data, metrics, analytics, and AI are standardized across global operations.
• Work on complex integrations across multiple Customer Support platforms and vendors.
• Gain exposure to AI/LLM analytics and MLOps-oriented data architectures.