Data Platform Engineering Leader

Vodacom

Johannesburg

On-site

ZAR 1,200,000 - 1,900,000

Full time

30 hours ago
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Benefits offered by this job

Medical aid benefits
Retirement funds
Staff discounts
Cell phone and data benefits

Job summary

Vodacom seeks a Platform Engineering Lead to own and evolve the data platform, ensuring reliability and cost-efficient operation across markets. You will lead a team of platform engineers, set the technical direction, and partner with data science and delivery squads to provide a stable foundation for analytics and ML workloads.

You will drive platform strategy, oversee ingestion and transformation pipelines, enforce IaC/CI-CD, and mentor engineers while coordinating with data architects and ML

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline.
  • 7+ years in data or software engineering, including 3–5 years leading engineering teams.
  • Proven delivery and operation of production data platforms at scale on AWS.
  • Demonstrable people-leadership track record: hiring, developing and retaining engineers.

Responsibilities

  • Own and evolve the data platform roadmap aligned to strategy and AI pillars.
  • Lead platform engineering delivery with PI and sprint planning.
  • Enforce engineering standards: IaC, CI/CD, tests, reviews and docs.
  • Ensure platform reliability, observability and incident management.
  • Build and retain engineering capability; manage costs and governance.

Skills

Data platform engineering
DevOps / CI-CD
AWS data services
Platform reliability
Data governance

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

AWS
Starburst
Collibra
AWS Lake Formation
SageMaker

Job description

Vodacom seeks a Platform Engineering Lead to own and evolve the data platform, ensuring reliability and cost-efficient operation across markets. You will lead a team of platform engineers, set the technical direction, and partner with data science and delivery squads to provide a stable foundation for analytics and ML workloads.

You will drive platform strategy, oversee ingestion and transformation pipelines, enforce IaC/CI-CD, and mentor engineers while coordinating with data architects and ML

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