Data Architect - Brazil

Papigen; Brasília; On-site; BRL 360,000 - 480,000; Full time

Job summary

Papigen is seeking a Data Platform & Solution Architect with 8+ years of IT experience to define and govern the end-to-end architecture of our data platform, reporting, analytics, and dashboards across the organization. You will lead Azure Data Lake Storage, Databricks, ADF, and Lakehouse architecture; drive data integration, Power BI reporting, API design, and security.

You will provide technical leadership across data engineering, BI, QA, and DevOps teams and ensure scalable, self-service

Qualifications

• 8+ years of IT experience with data platform/architecture focus.
• Expert in Azure Data Lake Storage, Databricks, ADF, and Lakehouse.
• Strong data modeling, ETL/ELT, and data governance skills.
• Proven leadership across data engineering, BI, QA, and DevOps.

Responsibilities

• Define and govern end-to-end data platform architecture.
• Design Azure-based data, analytics, reporting, integration, and dashboard solutions.
• Provide technical leadership and review architecture designs.

Skills

8+ years IT experience

Azure data platform expertise

Data governance & security

BI / Power BI architecture

Leadership across data teams

Tools

Azure Databricks

Azure Data Factory

Power BI

PostgreSQL

Azure DevOps

Job description

Role Overview

We are looking for a Data Platform & Solution Architect with 8+ years of experience to define and govern the end-to-end architecture of the Data Platform, Reporting, Analytics, and Dashboard ecosystem.

The role requires strong expertise in Azure data platforms, Lakehouse architecture, data integration, Power BI, application architecture, security, and technical leadership across data engineering, BI, QA, and DevOps teams.

Key Responsibilities

• Define and govern end-to-end data platform and solution architecture.
• Design Azure-based data, analytics, reporting, integration, and dashboard solutions.
• Lead architecture for Azure Data Lake, Databricks, ADF, PostgreSQL, Power BI, Azure DevOps, .NET Core APIs, and Angular applications.
• Define and govern Medallion Architecture (Bronze, Silver, and Gold layers).
• Guide data ingestion, ETL/ELT pipelines, data modeling, semantic models, APIs, and reporting architecture.
• Review and approve architecture designs, data flows, integrations, APIs, and technical documentation.
• Drive modernization, scalability, performance optimization, automation, and self-service analytics initiatives.
• Define architecture controls for data quality, reconciliation, lineage, metadata, security, and auditability.
• Provide technical leadership across data engineering, BI, application development, QA, and DevOps teams.
• Assess technical risks, dependencies, solution options, and delivery estimates.
• Support production incident analysis, root-cause analysis, release readiness, and operational resilience.
• Maintain architecture documents, design patterns, decision records, standards, and operational runbooks.

Mandatory Skills & Experience

• 8+ years of IT experience, with strong relevant data platform and solution architecture experience.
• Enterprise data platform and solution architecture.
• Azure Data Lake Storage (ADLS)
• Azure Databricks
• Azure Data Factory (ADF)
• Medallion / Lakehouse Architecture
• ETL/ELT pipelines and data integration.
• Data modeling, analytical datasets, and semantic models.
• Power BI reporting and analytics architecture.
• Azure DevOps and CI/CD architecture.
• API and integration architecture.
• Strong technical leadership, design reviews, stakeholder management, and documentation.

Preferred Technical Skills

• PostgreSQL and relational database architecture.
• .NET Core APIs and Angular applications.
• Data lineage, metadata management, and data governance.
• Data quality, reconciliation, monitoring, and audit controls.
• Security architecture and enterprise technology governance.
• Architecture decision records, design patterns, and modernization roadmaps.
• Production support, root-cause analysis, and SLA-driven operations.