Data Platform Manager

Tenth Revolution Group

Johannesburg

Hybrid

ZAR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

Tenth Revolution Group in Johannesburg is seeking an experienced Data Platform / Data Architecture professional to lead the evolution of an enterprise data platform, supporting digital transformation, analytics and AI initiatives. The hybrid role in Johannesburg requires the right to work in South Africa.

You will define strategy, design cloud architectures, oversee data integration, governance, and collaborate with CTO, CIO and other stakeholders to drive data-driven innovation.

Qualifications

  • 5-7 years in data engineering or enterprise architecture
  • Proven experience building or modernising enterprise data platforms
  • Experience integrating legacy systems into modern data environments
  • Experience with cloud data technologies and platform engineering
  • Experience leading technical delivery teams

Responsibilities

  • Define and implement the enterprise data platform strategy, architecture and roadmap.
  • Design scalable, cloud-based data architectures across customer, fleet, financial and operational domains.
  • Lead data integration and engineering initiatives, including modern ingestion, storage, semantic and API-driven architectures.
  • Modernise legacy data environments and implement event-driven and real-time data capabilities.
  • Azure data engineering background.
  • Establish data modelling, governance, quality, metadata, lineage and security standards.
  • Build reliable, observable and scalable data platforms that support advanced analytics, AI and operational reporting.
  • Drive the creation of trusted, governed data assets and self-service analytics capabilities.
  • Partner with CTO, CIO, Enterprise Architecture, Product, Finance and Commercial stakeholders to translate business priorities into data solutions.
  • Provide technical leadership across delivery partners, vendors and cross-functional teams.
  • Advise senior stakeholders on data maturity, platform evolution and data-driven innovation.

Skills

Data architecture
Data engineering
Cloud platforms
Leadership
Enterprise architecture

Tools

Azure

Job description

We’re looking for an experienced Data Platform / Data Architecture professional to lead the evolution of an enterprise data platform, supporting digital transformation, analytics and AI initiatives.

HYBRID ROLE - JOHANNESBURG

MUST HAVE RIGHT TO WORK IN SOUTH AFRICA

Key responsibilities:

  • Define and implement the enterprise data platform strategy, architecture and roadmap.
  • Design scalable, cloud-based data architectures across customer, fleet, financial and operational domains.
  • Lead data integration and engineering initiatives, including modern ingestion, storage, semantic and API-driven architectures.
  • Modernise legacy data environments and implement event-driven and real-time data capabilities.
  • Azure data engineering background.
  • Establish data modelling, governance, quality, metadata, lineage and security standards.
  • Build reliable, observable and scalable data platforms that support advanced analytics, AI and operational reporting.
  • Drive the creation of trusted, governed data assets and self-service analytics capabilities.
  • Partner with CTO, CIO, Enterprise Architecture, Product, Finance and Commercial stakeholders to translate business priorities into data solutions.
  • Provide technical leadership across delivery partners, vendors and cross-functional teams.
  • Advise senior stakeholders on data maturity, platform evolution and data-driven innovation.

Requirements:

(5 - 7 Years)

Experience in data engineering, data platforms or enterprise architecture

Proven experience building or modernising enterprise data platforms

Experience integrating legacy systems into modern data environments

Experience with cloud data technologies and platform engineering

Experience leading technical delivery teams

Advantageous:

(5 Years)

  • Experience in mobility / financial services / asset-intensive industries Experience supporting AI or advanced analytics initiatives
  • Consulting background
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