Platform Architect (Data)

SUMMARY:
Join a leading Pan-African telecommunications company as it embarks on a transformational journey to reshape Africa's digital landscape. The Software Engineering Centre of Excellence (COE) is dedicated to building innovative digital products that will empower and revolutionize the continent. This is your opportunity to be part of a cutting-edge team driving technological advancement and shaping a brighter, more connected future for Africa

POSITION INFO:
Key Responsibilities:
- Data Architecture Design:
- Design advanced conceptual, logical, and physical data models, organizations, repositories, dashboards, and reports within a complete functional and technical architecture.
- Advanced Analytics and Machine Learning:
- Develop and implement advanced statistical models and machine learning algorithms to solve business problems.
- Collaboration and Integration:
- Partner with other architects, infrastructure, and software experts to define metadata layers, technical strategies, and optimal integration within the existing client IT landscape.
- Technical Leadership:
- Translate designed solutions to technical designers or developers, review proposed solutions, and optimize them as required.
-Continuous Improvement:
- Design, develop, and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes).
- End-to-End Accountability:
- Be accountable for the end-to-end solution, from conception to deployment.
Project Leadership:
- Lead data projects from conception to deployment.
- Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.
- Define project scope, goals, and deliverables that support business objectives.
Mentorship and Collaboration:
- Mentor and provide guidance to data specialists.
- Foster a collaborative and innovative team environment.
- Communicate complex technical concepts and insights to non-technical stakeholders.
Research and Development:
- Stay current with the latest advancements in data architecture and the broader data and AI landscape.
- Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.
Deployment and Maintenance:
- Oversee deployment and monitoring of data solutions in production environments.
- Ensure continuous improvement for existing data pipelines, data models, reports, and infrastructure.
- Implement best practices for data, model management, and version control.
Education:
- Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Experience:
- 5+ years of experience in data architecture, data engineering, or a related field.
- Proven experience leading data projects and managing teams.
- Extensive experience with big data platforms (cloud and on-premise), data modeling, data analysis, statistical modeling, and machine learning.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
- Proficiency with data modeling tools.
- Strong SQL skills and experience with relational and NoSQL databases.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.