Senior Data Architect

Moagi Information Services; Johannesburg; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A leading consulting company is seeking a Senior Data Architect to design robust data solutions and guide clients through complex data environments. This hybrid role involves working closely with stakeholders to ensure data accuracy and security while aligning with strategic goals. The ideal candidate will have extensive experience in data architecture and governance, as well as relevant certifications.

Qualifications

• At least five years of experience as a Senior Data Architect.
• Professional architecture certification in the data management field.

Responsibilities

• Design, implement, and maintain data infrastructure.
• Conduct research on ETL tools and data lake products.
• Oversee installation and management of data systems.

Skills

Data Governance

Data Security

Data Analytics

Data Architecture

Stakeholder Management

Education

Information Technology-related Diploma or Degree

TOGAF Certification

CDMP Certification

Job description

3 days ago Be among the first 25 applicants

Company: Moagi Information Services

Location: Hybrid – Client site in Pretoria East

Division: Consulting

Moagi Information Services is seeking a seasoned Senior Data Architect to join our Consulting Division. This is a hybrid role with assignments delivered at a client site located in Pretoria East. We are looking for an experienced professional who can design robust data solutions, lead architectural initiatives, and guide clients through complex data environments.

Key Responsibilities:

A senior data architect is expected to design, implement, and maintain data infrastructure, safeguard data accuracy, accessibility, and security ensuring that digital transformation initiatives align with strategic goals.

A senior data architect will be expected to assist the team to perform the following:

1. Acquisition and deployment:

• Conduct research and make recommendations on Extract, Transform, Load (ETL) tools, enterprise data warehouse (EDW) and data lake products, services, protocols, and standards in support of procurement and development efforts.

• Evaluate, recommend, and select EDW and data lake components, including hardware, database management systems, ETL software, data mining tools, and metadata management tools.

2. Operations management:

• Work with end users, BI and data analytics teams to identify, create, and deliver reports according to requirements.

• Design and manage ETL, EDW, data lake improvement and growth projects.

• Identify inefficiencies and gaps in current EDW and data lake and leverage solutions.

• Identify inconsistencies and quality issues in the data and take steps to maintain data consistency and integrity.

• Diagnose and resolve client EDW and data lake requirements, access and performance issues.

• Oversee the installation, management, and configuration of necessary components to ensure access to the client EDW and data lake.

• Monitor system details within the EDW and data lake, including stored procedures and execution time, and implement efficiency improvements.

• Perform cost estimates for data migration across development, test, and production systems, and plan and coordinate the migration processes.

• Develop, implement, and maintain change control and testing processes for modifications to data systems.

• Establish, build and maintain collaborative working relationships with relevant internal stakeholders.

• Build and maintain positive and value-adding relationships with relevant external stakeholders.

• Scan the environment to ensure a clear understanding of stakeholder needs.

• Proactively interact with stakeholders to determine their needs and deliver on them accordingly.

• Engage with both internal and external stakeholders to identify and evaluate performance barriers and success to continuously improve the delivery service.

• Work in collaboration with colleagues in the centre to ensure timeous delivery of the deliverables and manage service level agreements (SLAs).

Requirements:

Senior Data Architect must have an information technology-related diploma or degree and professional architecture certification in the data management field (i.e. The Open Group Architecture Framework (TOGAF), Certified Data Management Professional (CDMP)).

At least five years of experience as a Senior Data Architect and possess expertise in the following data

Architecture components:

(ii) enterprise data model (conceptual, logical and physical),

(iii) data catalogue and metadata repository,

(iv) data governance framework,

(vii) data storage and platform strategy,

(viii) data lineage and provenance,

(x) data security and privacy architecture,

(xi) data analytics and business intelligence (BI) architecture,

(xii) big data and artificial intelligence (AI)/ machine learning (ML) architecture,

(xiii) data architecture roadmap and (xiv) data access and application programming interface (API) strategy.

Application:

If you’re a data visionary ready to make a tangible impact through consulting, apply now by sending your CV and qualifications/certificates to [e-mail]

Should your application be successful , we will contact you directly .if you do not receive a response from us within 30 days , please consider your application unsuccessful.

We appreciate your interest in Moagi-is and thank all applicants for taking their time to apply

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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