- Bachelor’s degree or equivalent experience.
- 10+ years of experience in IT platform implementation within highly technical and analytical environments.
- Experience architecting large-scale analytics and data platforms using both on premises and cloud technologies.
- Strong experience in data warehousing architecture and industry best practices.
- Hands‑on experience with Databricks, Lakehouse architecture, and cloud data analytics solutions on AWS and/or Azure.
- Strong knowledge of data federation, ETL/ELT ingestion strategies, and modern data platform design.
- Proficiency in Python, PySpark, advanced SQL, and Delta Lake optimization techniques.
- Experience with Databricks notebooks, Jobs, Delta Live Tables (DLT), Lakeflow, Unity Catalog, and Git integrations.




- Knowledge of Delta Lake performance optimization, including OPTIMIZE/VACUUM policies, data skipping, Z-ordering, file compaction, and query diagnostics.
- Experience implementing security and compliance controls, including PII/PHI protection, encryption, secret management, and access management.
- Strong analytical, problem‑solving, organizational, and communication skills.
- Ability to manage multiple priorities, work independently, and collaborate effectively in a matrixed environment.
- Excellent verbal and written communication skills in English.

📌 SAP Data Architect (Bogotá, D.C.)
🏢 Discovery Partners
📍 Bogotá, D.C.