Principal Data Architect at Safaricom Kenya

Job Description

Reporting to the Big Data & CVM Technology Lead the holder of the position will design and execute the overall enterprise data management strategy and framework and setting enterprise-wide quality metrics on the big data platforms which will serve as Safaricom’s single source of truth, as well as the Business Intelligence platform. This will be used to continuously deliver on Safaricom’s overall data analytics strategy.

Job Responsibilities

1. Develop and implement an overall organizational data strategy that is in line with business processes
2. Identify data sources, both internal and external, and work out a plan for data management that is aligned with organizational data strategy
3. Coordinate and collaborate with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system
4. Provide guidance and/or develop tool to maintain and provision an enterprise master data repository
5. Develop analytical platforms that will be used to avail data to end users for exploration, advanced analytics and visualizations for day-to-day business reporting
6. Provide guidance and advise to technology teams on the best use of latest technologies and designs to deliver a best-in-class platform in the most cost-effective way
7. Develop automated monitoring solutions to be handed over to support teams to run and operate the platform efficiently

Job Qualifications

1. Must have technical / professional qualifications:
2. BS or MS in computer science or equivalent practical experience
3. At least 2-3 years of coding experience in a non-university setting.
4. Experience in enterprise data management
5. Proficient understanding of distributed computing principles
6. Experience in collecting, storing, processing and analyzing large volumes of data.
7. Proficiency in understanding database technologies
8. Excellent written and verbal communication skills
9. Excellent organizational and analytical abilities
10. Understanding of big data technologies:  Cloudera/Hortonworks
11. Experience with Oracle Database technologies.