GoFasti ยท 11 hours ago
959- Data Architect
GoFasti is a Talent-as-a-Service company that connects top talent from LatAm with leading companies worldwide. They are seeking an English-fluent Data Architect who will be responsible for architecting and implementing cloud-native data solutions, defining data architecture standards, and guiding data engineers to ensure proper implementation and maintenance of data architecture.
Human ResourcesInformation TechnologySoftwareSoftware Engineering
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
Qualification
Required
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