Enterprise Data Architect

Oversee the organization’s overall data architecture. Plan, document, and implement a new data architecture; define a clear and sustainable data architecture strategy; and design-and-implement the target architecture(s). Design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Design and implement data architecture(s) supporting the storage, processing, and analysis of large volumes of data.

Responsibilities:

Customer:

• Develop a service culture which builds rewarding relationships, proposes innovations and allows others to provide exceptional client service.
• Cultivate and manage objective working relationships with a variety of stakeholders, including end-users, SME’s, project managers and senior staff members to ensure implementation of a target data architecture.

Business Growth:

• Plan, document, and implement a new data architecture; define a clear and sustainable data architecture strategy; and design-and-implement the target architecture(s).
• Identify business opportunities or create new business concepts and development approaches to support business growth through data tools and models.
• Analyze and develop a data architecture fit for data analytics, Artificial Intelligence (AI), and Machine Learning (ML) based on an environmental analysis that incorporates all internal and external benchmarking data for future solutions
• Facilitate the conversion of knowledge and ideas into new or improved products for the data environment.

Leadership and Staff Development:

• Establish, align and manage target and budget goals whilst ensuring effective control of costs to increase cost efficiency.
• Plan and manage performance, skills development, employment equity, talent and culture of team in order to improve innovation, achieve efficiencies and increase competencies.
• Manage own development to increase own competencies.

Process:

• Using data modelling tools such as ER/Studio to visualize and design data architecture.
• Documenting data pipeline procedures or queries for metadata and reference data cases.
• Monitoring changes in emerging technologies, legislation, regulations, initiatives and relevant industry practices. Ensure drafting and implementation of appropriate interventions. Ensure compliance with audit requirements.
• Controlling the management of agreed data architecture projects to ensure successful implementation within agreed timelines and ensure effectiveness of projects by investigating the integrated nature of the project, requirements must be distributed to all affected Business units in order that they priorities the project.
• Supporting best practice and innovation in the operational model through critical assessment of its workings and challenges to its design assumptions so that data and subsequently analytics can make a relevant difference.

Qualifications

Education:

• Grade 12 Certificate with Credit or above mandatory in Mathematics and English and any other three subjects.
• Degree in information technology, computer science, computer engineering, or related fields.

Professional: As required by Function

Certified Data Management Professional (CDMP)

Arcitura Certified Big Data Architect; IBM Certified Solution Architect – Cloud Pak for Data v4.x; Salesforce Certified Data Architect; or TOGAF 9 Certification Program

Minimum Experience: 8 years relevant experience

Knowledge: Database management, knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.