Senior Data Architect

Zemsania; Bogotá; Presencial; COP 222.065.953 - 333.098.930; Jornada completa

Descripción de la vacante

Zemsania is seeking a professional with over 5 years of experience in data architecture, focusing on data mesh principles, dimensional modeling, and data governance. The ideal candidate should have proficiency in Python and modern cloud architecture techniques. Familiarity with Data Vault 2.0, master data management, and data privacy regulations is essential for the role. This position offers the opportunity to design and implement comprehensive data solutions within a leading enterprise environment.

Conocimientos

Data mesh principles

Dimensional modeling

Data Vault 2.0 modeling

Enterprise data architecture

Data models design

Metadata management

Master data management (MDM)

Data privacy regulations

Python

Open Format Table knowledge

Cloud architecture certification

Dataplex expertise

Databricks Unity Catalog

Spark or Flink expertise

Descripción del empleo

Requisitos conocimiento técnicos:

• 5+ years of experience required on data architecture (order matters):
  • Hands-on experience in defining and implementing data mesh principles across multiples domains
  • Proven expertise in dimensional modeling (Star and Snowflake schema).
  • In-depth knowledge and hands-on experience with Data Vault 2.0 modeling.
  • Experience designing enterprise data architecture using modern lakehouse, dalalake and warehouse patterns.
  • Proficient in designing logica, physical, and canonical data models aligned with business domains.
  • Experience working with metadata management and catalogs.
  • Strong knowledge of master data management MDM, data lineage and data governance best practices.
  • Knowledge of data privacy regulations and secure data architecture design.
• Technical Proficiency in:
  • Python expert.
  • Open Format Table expert (Delta lake or Iceberg or Hudi).
  • Azure / GCP cloud professional data architect certification.
  • GCP Dataplex expert.
  • Databricks Unity Catalog expert.
  • Spark y/oFlinkexpert.