959- Data Architect

We need an English-fluent Data Architect, based in Latin America, available to work remotely.
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Architect and implement a cloud-native data warehouse or lakehouse using platforms like Databricks, Microsoft Fabric, Apache Spark, or equivalent.
• Define and enforce data architecture standards, best practices, and frameworks such as medallion or layered architecture.
• Design data models and schemas that optimize for performance, scalability, and usability across business domains.
• Develop data ingestion, transformation, and integration strategies using tools such as Azure Data Factory, Synapse, AWS Glue, and Fabric Data Pipelines.
• Provide thought leadership on how to structure data to enable analytics, self-service BI, and data governance.
• Guide and collaborate with data engineers to ensure the architecture is properly implemented and maintained.
• Design and validate semantic models to support Power BI, Tableau, and Fabric reporting layers.
• Conduct architecture reviews, performance tuning, and data quality assessments to ensure system efficiency and trustworthiness.
• Translate complex technical architecture into clear and actionable plans for both technical and non-technical audiences.
• Stay current with Fabric and Databricks capabilities, cloud data trends, and emerging technologies, proactively recommending improvements to tooling and design.

Requirements:

• Minimum of 8 years of experience in data architecture, data engineering, or related technical roles.
• Proven track record designing and delivering cloud data platforms using Microsoft Fabric and Databricks.
• Deep hands-on experience with medallion architecture (Bronze, Silver,
• Gold layers) and associated transformation patterns.
• Proficiency in SQL, data modeling (dimensional or star schema), and ETL/ELT design patterns.
• Strong understanding of cloud ecosystems (i.e., Azure, AWS, GCP) and services like Data Lake, Synapse, or BigQuery.
• Experience implementing governed and scalable data pipelines within Fabric or Databricks environments.
• Familiarity with metadata management, data governance, and data lineage tools.
• Ability to balance strategic architectural design with practical implementation and troubleshooting.
• Excellent communication and presentation skills, with the ability to simplify complex data concepts for diverse audiences.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.