18 oct
|
Papigen
|
Ciudad de México
18 oct
Papigen
Ciudad de México
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 pipel
📌 Data Architect (Ciudad de México)
🏢 Papigen
📍 Ciudad de México