Senior Data Architect
RemoteColombia
Job Summary
Design and evolve enterprise data architecture strategies, including data models, data lakes, and data warehouses. Lead the design and implementation of ETL/ELT pipelines to support analytics, reporting, and AI/ML workloads. Architect and implement Master Data Management (MDM) frameworks to ensure data quality, consistency, and governance across systems. Design and build modern data platforms using Databricks and Microsoft Fabric, while architecting cloud-native data solutions on AWS. Define data governance standards, metadata management practices, and data lineage frameworks. Collaborate with data science and AI teams to design architectures supporting machine learning, GenAI, and agentic systems. Partner with stakeholders to translate requirements into scalable solutions and provide technical leadership to engineering teams. Troubleshoot complex pipeline issues and drive continuous improvement in performance and observability.
Required Qualifications
- 8+ years of experience in data architecture, data engineering, or related roles
- Strong hands-on experience designing data models (conceptual, logical, physical) for enterprise systems
- Proven experience building and optimizing ETL/ELT pipelines
- Hands-on experience implementing Master Data Management (MDM) solutions
- Strong expertise with Databricks for data engineering and analytics workloads
- Experience with Microsoft Fabric for unified data and analytics solutions
- Solid experience with AWS data services (e.g., S3, Glue, Redshift, RDS, Lake Formation)
- Understanding of AI/ML data requirements, including feature engineering and data preparation for GenAI and LLM-based systems
- Strong knowledge of data governance, data quality, and metadata management practices
- Proficiency in SQL
- Familiarity with Python or other data engineering languages
- Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders
Desired Qualifications
- Experience with data architecture in hybrid or multi-cloud environments (Azure, AWS)
- Familiarity with GenAI and agentic AI system architectures
- Experience with data cataloging and lineage tools
- Knowledge of CI/CD practices for data pipelines (DataOps)
- Experience working in Agile/Scrum environments
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