Lead Data Engineer (Azure Databricks) – Platform Architect

Randstad Digital New Zealand

Wellington

On-site

NZD 120,000 - 180,000

Full time

4 days ago
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Job summary

Randstad Digital New Zealand seeks a Lead Data Engineer (Azure & Databricks) to shape the technical vision for a next-generation enterprise data platform in Wellington on a fixed-term through June 2027. You will blend hands-on engineering with architectural guidance to deliver scalable, secure cloud data services that underpin critical decision-making across the public sector.

You will drive cloud-native practices across Azure, Databricks, and containerized environments while mentoring an Agile

Qualifications

  • Proven experience designing and delivering enterprise cloud data platforms at scale.
  • Deep expertise in Azure Databricks, Spark, Delta Lake, and Terraform.
  • Strong knowledge of cloud-native architecture, containers, and security integrations.

Responsibilities

  • Lead technical design and delivery of Azure data services, Databricks, and streaming solutions.
  • Champion DevOps, IaC (Terraform, Azure DevOps), CI/CD pipelines, and observability.
  • Provide technical mentorship to uplift data engineering capability.
  • Partner with architects and stakeholders to align platform features with goals.
  • Evolve platform architecture to support secure data sharing, analytics, and governance.
  • Drive governance, platform standardisation, and cloud-first delivery practices.

Skills

Azure Databricks
Delta Lake
Terraform (IaC)
Docker
AKS
CI/CD
Data Platform Architecture

Tools

Terraform
Docker
AKS
Azure DevOps
Spark
Delta Lake

Job description

Randstad Digital New Zealand seeks a Lead Data Engineer (Azure & Databricks) to shape the technical vision for a next-generation enterprise data platform in Wellington on a fixed-term through June 2027. You will blend hands-on engineering with architectural guidance to deliver scalable, secure cloud data services that underpin critical decision-making across the public sector.

You will drive cloud-native practices across Azure, Databricks, and containerized environments while mentoring an Agile

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