Data Architect Job Opportunity at Kansanshi Mining Plc

Join First Quantum Minerals and unleash your talent with our unique approach anchored in the “First Quantum Way.” Our culture is about fostering independent thinking and challenging conventions to achieve extraordinary results in extraordinary locations.

Position Details

Job Title: Data Architect

Site: Kansanshi Mining Plc

Department: IT & Digital

Section: Business Analytics and Engagement

Reporting To: IT Enterprise Architect Lead

Grade: 16

Purpose

Manage site data governance and contribute to regional and group data engineering teams, driving our vision of analytics-driven mining. Provide expertise in building and deploying databases, ensuring their high performance, security, and scalability.

Key Responsibilities

• Develop and oversee database solutions, designing, and enhancing systems.
• Define database structure, security, backup, and recovery specifications.
• Design, develop, deploy, and support enterprise data platforms using Microsoft Azure Services.
• Create and enforce effective data management policies for accuracy and legitimacy.
• Maintain database performance across the technical environment.
• Design, develop, and review real-time/bulk data pipelines from various sources.
• Perform data transformation and normalization for analytics, modelling, and reporting.
• Implement data quality checks and monitoring mechanisms.
• Develop documentation of Data Lineage and Data Dictionaries.
• Apply best practices in Data Ops, ensuring robust code and database management.
• Provide thought leadership in problem solving and engage in R&D initiatives.
• Utilize modern cloud technologies and DevOps/DataOps best practices.
• Develop interactive dashboards, reports, and visualizations using tools like Power BI and Python.

Qualifications

• Bachelor’s degree in engineering, computer science, or analytical fields (Statistics, Mathematics, etc.). A Master’s or PhD is an added advantage.

Experience

• Minimum 5 years experience in related fields.
• Expertise in SQL and Python development with high-quality production codebases.
• Knowledge in object-oriented programming languages like C#.
• Familiarity with data engineering, software engineering, and machine learning systems architecture.
• Experience in applying best practices in data engineering projects.
• Data science experience, including model selection, training, validation, and deployment at scale.
• Working knowledge of Azure Stream Architectures, DBT, Schema Change tools, and Azure Machine Learning Environment.
• Experience with Distributed Parallel Processing Environments like Spark or Snowflake.
• Proficiency in Agile, Scrum, and Kanban methodologies.
• Experience with workflow orchestration tools like Airflow, Prefect, or Dagster.
• Proficiency in CI/CD and automation tools like Jenkins or Azure DevOps.
• Experience with containerization tools like Docker.
• Membership in ICTAZ or EIZ.

Behavioral Traits

• Effective communication skills.
• Ability to influence managers and employees.
• Leadership capabilities.
• Strong critical thinking and conflict management skills.
• Exceptional problem-solving abilities.
• Comfort in high-pressure, deadline-driven environments.
• Detail-oriented with strong technical aptitude.
• Expertise in multi-tasking, time management, and planning.
• Excellent presentation skills.

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