Senior Data Architect: Lead Biotech Data Platform

Placements24; Mossel Bay; Presencial; ZAR 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical aid

Retirement fund

Study leave

Descripción de la vacante

Placements24 is assisting a prominent research and development organization in Mossel Bay, Western Cape to hire a Senior Data Architect. The role focuses on designing, developing, and managing data architectures that enable analytics, machine learning, and BI initiatives.

You will define data strategies, governance, and ensure data integrity, security, and accessibility across platforms, including data warehouses, data lakes, and data marts.

Formación

• 8+ years in data architecture/engineering with senior experience.
• Experience building large-scale data warehouses and data lakes.
• Strong data modeling using Kimball, Inmon, or Data Vault.
• Proficient in SQL and various DB technologies (RDBMS/NoSQL).
• Familiar with Hadoop/Spark and cloud platforms (AWS/Azure/GCP).
• Knowledge of data governance, quality, and security.
• Excellent analytical and communication skills.
• Biotech/pharma background is a plus.

Responsabilidades

• Design enterprise data architecture solutions including warehouses, lakes, and marts.

Conocimientos

Data Warehousing

Data Modeling

SQL & NoSQL

ETL/ELT

Big Data

Cloud Platforms

Governance & Security

Leadership & Mentorship

Biotech knowledge

Communication

Educación

Bachelor's degree in Computer Science / Information Systems

Herramientas

Hadoop ecosystem

Spark

AWS Redshift

Azure Synapse

GCP BigQuery

ETL tools

Descripción del empleo

Placements24 is assisting a prominent research and development organization in Mossel Bay, Western Cape to hire a Senior Data Architect. The role focuses on designing, developing, and managing data architectures that enable analytics, machine learning, and BI initiatives.

You will define data strategies, governance, and ensure data integrity, security, and accessibility across platforms, including data warehouses, data lakes, and data marts.