About the Role
We are partnering with an innovative health-tech company to design and implement a next-generation Azure-based data platform that will power their digital healthcare experience. This initiative re-imagines how data, analytics, and AI come together to drive real-time insights and seamless healthcare interoperability across telemedicine and telehealth solutions. As the
Lead Data & Pipeline Architect , you will design and operationalize the Azure data architecture, shaping ingestion, transformation, and governance frameworks that ensure performance, scalability, and trust in data. You'll play a pivotal role in creating reusable, metadata-driven frameworks and establishing Medallion zone standards that enable analytics and AI at scale.
Location:
Providencia, Guadalajara, Mexico ️ Language: Bilingual (English & Spanish) Must be legally authorized to work and currently residing in Mexico. Full-Time | U.S. Eastern Time
Key Outcomes
Build reusable ingestion frameworks supporting multiple data sources. Define and enforce data quality, lineage, and governance standards.



Optimize ELT pipelines for cost, performance, and reliability. Establish clear standards for partitioning, compaction, and storage optimization.
Core Responsibilities
Design the end-to-end Azure data architecture, including ingestion, transformation, and orchestration patterns. Develop metadata-driven pipelines using Azure Data Factory (ADF) and/or Synapse or Databricks. Implement frameworks for idempotency, error handling, and recovery. Integrate Purview (or equivalent) for cataloging, lineage, and RBAC. Partner with BI developers to define semantic models, KPIs, and Power BI refresh strategies. Collaborate with QA teams to ensure automated testing and performance validation.
Qualifications
8+ years of experience in data architecture or engineering on Azure. Advanced expertise with ADF, ELT frameworks, and PySpark or SQL. Strong understanding of Medallion architecture and open table formats (Ic

📌 Lead Data (Guadalajara)
🏢 FlexTal Staffing
📍 Guadalajara