Senior Geoscience Data Architect & Governance Lead

AngloGold Ashanti plc; Johannesburg; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

AngloGold Ashanti plc in Johannesburg seeks a Principal, Geoscience Data Management to lead global data governance and provide hands‑on database interrogation and QA/QC across projects, operations, and ventures.

You will design schemas, develop complex SQL queries, audit ETL processes, and collaborate with site geology teams, Digital Technology, and Mineral Resources to safeguard data integrity and enable data science initiatives.

Qualifications

• Bachelor’s degree or higher in Geoscience or CS/Data Science with mining industry experience.
• 8+ years of experience administering geological DB systems (acQuire, Fusion, Datashed).
• Proven ability to design schemas and run advanced SQL queries.
• Experience auditing ETL pipelines and QA/QC for data integrity.
• Experience mentoring site DB admins and cross‑functional teams.

Responsibilities

• Establish and monitor global Geoscience Data Management policies and QA/QC procedures.
• Provide hands‑on input into geological DB systems and data modeling; optimize SQL and ETL interfaces.
• Lead site data audits, verify data reliability, and identify bottlenecks.
• Support Mineral Resource and Reserve processes, including technical reports and due diligence.
• Monitor data science tools and automation initiatives with Digital Technology.

Skills

SQL

Geoscience data governance

ETL

Data modelling

Stakeholder engagement

Education

Bachelor’s degree in Geoscience or CS/Data Science

Tools

acQuire

Fusion

Datashed

SQL databases

Job description

AngloGold Ashanti plc in Johannesburg seeks a Principal, Geoscience Data Management to lead global data governance and provide hands‑on database interrogation and QA/QC across projects, operations, and ventures.

You will design schemas, develop complex SQL queries, audit ETL processes, and collaborate with site geology teams, Digital Technology, and Mineral Resources to safeguard data integrity and enable data science initiatives.