Data security architect - cloud data platform (Guadalajara)

We're looking for a Senior Data Architect to join our Data & AI Team, In this role, you will serve as a key technical leader responsible for designing, architecting, and owning our enterprise Azure-based Lakehouse platform.

Responsibilities

• Design, develop, and optimize enterprise-scale ETL/ELT pipelines using Azure Data Factory (ADF ) and Azure Databrick s
• Build robust data ingestion frameworks supporting batch and real-time data from APIs, databases, Saa S applications, and external sources
• Implement and maintain Medallion Architecture (Bronze, Silver, Gold) to support scalable and governed data processing
• Establish CI/CD practices, automation frameworks, and deployment standards for data engineering workflows
• Architect, implement, and manage enterprise data platforms leveraging Azure Data Lake Storage (ADLS ), Azure SQ L, and Azure Databrick s
• Lead platform performance tuning, cluster optimization, workload management, and cloud cost governance initiatives
• Drive Data Ops best practices including automated testing, version control, monitoring, observability, and operational excellence
• Own and evolve the enterprise Databricks Lakehouse architecture, including Delta Lake design patterns and implementation standards
• Establish and enforce data engineering standards, naming conventions, security frameworks, and governance practices through Unity Catalog
• Lead workspace organization, job orchestration strategies, cluster governance, and platform scalability initiatives
• Design and implement enterprise data quality frameworks, validation rules, auditing processes, and error-handling mechanisms
• Maintain metadata management practices, data lineage, technical documentation, and governance standards
• Ensure compliance with security, privacy, and regulatory requirements
• Partner with business analysts, BI teams, data scientists, and application teams to deliver trusted, analytics-ready datasets
• Design reusable data models that support reporting, self-service analytics, AI/ML initiatives, and predictive modeling
• Enable modern data and AI capabilities through scalable and governed data architecture

Required Qualifications

• ~8+ years of hands-on experien ce in Data Architecture, Data Engineering, or related roles.
• ~ Deep expertise wit h Azure Data Factory (ADF), Azure Databricks, Delta Lake, Spark, and Azure Data Lake Storage (ADLs).
• ~ Strong proficiency in SQL, including complex query development, performance tuning, optimization, and stored procedures.
• ~ Proven experience designing, implementing, and supporting enterprise-scale Data Lakehouse platforms.
• ~ Strong understanding of data governance, security, metadata management, an d Unity Catalog.
• ~ Excellent communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.

Preferred Qualifications

• Experience working with healthcare data, includi ng EHR/EMR, HL7, FHIR, Claims, and Revenue Cycle Management (R C M).
• Knowledge of AI/ML workflows, feature engineering, and MLOps practices.
• Experience implementing CI/CD pipelines usi ng Azure Dev Ops, Git Hub Actions, or Databricks Re p os.
• Proficiency in Pyt hon for ETL development, automation, and AI/ML support.
• Experience with real-time and streaming data processing usi ng Structured Streaming.
• Familiarity wi th Azure Synapse Analyt ics or comparable cloud data warehousing platforms.