Data Architect

Company Description

AmaliTech is a social business empowering the next generation of technology leaders that harness the potential of remote working to build the future of work in sub-Saharan Africa and reinvest its surplus in further training, network growth, and local community support. 

AmaliTech provides employment pathways in the tech sector to young graduates in Sub-Saharan Africa, connecting them to the global demand for tech talent. Our approach combines training with employment and continuous learning because evidence shows that only this integrated approach works. By focusing on skilled IT services, we contribute to ecosystem development and the emergence of a future-proof industry with growth engine potential. 

With headquarters in Germany, we have over 400 strong team members based in Ghana (Takoradi, Accra and Kumasi) and Rwanda (Kigali).

Job Description

AmaliTech seeks a highly skilled Data Architect to design and implement scalable and efficient data architectures that support analytics and business intelligence needs. This role is crucial to ensuring the quality, security, and accessibility of data across our client projects. You will work on projects such as designing enterprise data warehouses, optimizing cloud-based data lakes, and developing data integration solutions for real-time analytics. If you're passionate about building robust data ecosystems and enjoy working with cross-functional teams, we'd love to have you on board.

Qualifications

Key Responsibilities

• Design, build, and maintain complex data models and architecture solutions to meet the organisation's needs.
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and translate them into architectural solutions.
• Develop data integration strategies, including data flow and ETL pipelines, to connect diverse data sources.
• Ensure data quality, governance, and security standards are adhered to across all data solutions.
• Lead initiatives to modernise data infrastructure, focusing on cloud technologies such as AWS and Azure for scalability.

Person Specification

• Bachelor's degree in mathematics, statistics, computer science or related field
• Minimum 3 years of experience as a Data Architect, with a strong background in designing and implementing data platforms.
• Experience with big data technologies like Apache Hadoop, Spark, or similar
• Experience with Python for building data pipelines and automating ETL processes
• Proficiency in database technologies such as SQL, NoSQL, and data warehousing solutions.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed data storage systems.
• Strong knowledge of data modelling techniques, ETL/ELT processes, and data integration tools.
• Familiarity with data visualisation tools (e.g., Power BI, Tableau).
• Understanding of data security best practices, governance, and compliance standards.
• Excellent communication skills and ability to work closely with stakeholders at various levels.

Additional Information

How To Apply

Interested and qualified applicants should click the "I'm interested" to complete the application process. Application deadline is October 31, 2024. 

Ensure you have these documents before applying:

• Latest copy of CV (PDF format)
• Valid National ID Card

Recruitment Process:

1. Click "I'm interested" to apply
2. Invitation to Interview(s)
3. Job Offer 

Perks

•  Competitive salary commensurate with qualification and experience
•  Pension benefits
• Bonuses and end-of-year package
•  Medical insurance, with dependents
• Internet data allocation for remote work
•  Employee bonding activities (bi-monthly happy hour, sporting activities)

What To Expect

Working with AmaliTech provides an excellent opportunity for career growth and development in a healthy and diverse work environment. Our talented and welcoming team will ensure you feel part of our family to get you engaged on the job. You have the opportunity of building an international IT career and working with global IT companies.