Senior Data & Analytics Architect

This is a partner position: you would not be joining Blue Coding directly, but rather one of our trusted partner companies, PayJoy. Blue Coding is managing the hiring process on their behalf, connecting them with excellent talent across Latin America, but your day-to-day work, team, and reporting line would sit entirely within PayJoy.

PayJoy is looking for a Senior Data & Analytics Architect to serve as a key technical authority within their Global Metrics team, helping define the architecture, standards, and analytical foundations that support Customer Support operations globally. This is a senior individual contributor and technical leadership role, with no direct people-management responsibilities.

You would be responsible for defining and evolving the end-to-end data architecture across PayJoy's Global Customer Support ecosystem, including data ingestion patterns, Medallion Architecture (Bronze / Silver / Gold), dimensional modeling, semantic layers, KPI frameworks, data governance, and analytical standards — working closely with the Global Metrics Senior Manager, Engineering, Business Analytics, and Data Platform teams.

We are looking for a Senior Data & Analytics Architect to work with PayJoy as a key technical authority within their Global Metrics team, helping define the architecture, standards, and analytical foundations that support Customer Support operations globally.

This is a senior individual contributor and technical leadership role, with no direct people-management responsibilities. You'll own and evolve the end-to-end data architecture across the Global Customer Support ecosystem, including data ingestion patterns, Medallion Architecture (Bronze / Silver / Gold), dimensional modeling, semantic layers, KPI frameworks, data governance, and analytical standards.

The role requires strong hands-on experience with Databricks and dbt, along with experience working with large-scale datasets, high-volume data ingestion, and scalable data pipelines. You'll work closely with the Global Metrics Senior Manager, Engineering, Business Analytics, and Data Platform teams, as well as business stakeholders, to translate complex business requirements into scalable, standardized, and maintainable data and analytics solutions.

Experience with AI-oriented data architectures and data modeling for MLOps is highly desirable, though not mandatory.

If you are fluent in English, proactive, and detail-oriented, with strong communication skills and a passion for building scalable data foundations, this position might be a great fit for you! This role is 100% remote, and you will be integrated directly into PayJoy's engineering team, gaining valuable international experience while working through Blue Coding.

• Own and evolve the Bronze / Silver / Gold data architecture for the Global Metrics ecosystem, and define scalable patterns for integrating new Customer Support platforms and data sources.
• Design dimensional, relational, and analytical data models, and define standards for data ingestion, transformation, storage, and consumption.
• Design scalable data pipelines using Databricks and dbt, working with large-scale datasets and high-volume ingestion workloads, and support ingestion strategies using platforms such as Fivetran, APIs, and cloud object storage.
• Own the design and evolution of the analytics semantic layer, defining scalable frameworks for KPIs, business metrics, dimensions, and analytical entities, and govern the Gold analytical layer used by dashboards, analytics, AI, and reporting.
• Define and maintain standards for KPI definitions, calculations, dimensions, and business rules, and maintain and evolve the business glossary and data dictionary.
• Define how new systems and vendors are integrated into the data ecosystem, evaluating integration alternatives such as APIs, event streams, file exports, and managed ingestion platforms.
• Serve as a senior technical reference for Data and Analytics Architecture, providing architectural guidance to Data Engineers and Business Analysts, and mentoring team members on data modeling and semantic design.
• Document architectural decisions, data models, integration patterns, and technical standards to reduce knowledge concentration and key-person dependency.
• Collaborate closely with the Senior Manager of Global Metrics, along with Project Managers, Data Engineers, and Business Analysts, as well as global Customer Support, Product, Risk, Operations, and Engineering stakeholders.