Technical Lead, Azure Databricks Data Platform

Randstad; Wellington; On-site; NZD 140,000 - 190,000; Full time

Job summary

Randstad in Wellington seeks a Lead Data Engineer to shape the technical vision and architecture of a next-generation data platform. You will blend hands-on engineering with architectural guidance to deliver scalable cloud data services that underpin critical decision-making across the public sector.

As a technical lead, you will drive cloud-native best practices across Azure, Databricks, and containerized environments, while mentoring an Agile team of data engineers and collaborating with

Qualifications

• Experience building enterprise cloud data platforms at scale.
• Deep expertise in Azure Databricks, Spark, Delta Lake, and Terraform.
• Strong knowledge of cloud-native architecture, containerization (AKS, Docker), and security integrations.
• Experience with data governance tools and compliance frameworks.
• Mentored engineers and led agile technical delivery.
• Excellent communication to translate cloud data strategies.

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 and hands-on guidance to uplift data engineering capability.
• Partner with architects and stakeholders to align platform features with organizational goals.
• Evolve platform architecture to support secure data sharing, analytics, and governance.
• Drive technical governance, platform standardisation, and cloud-first delivery practices.

Skills

Cloud data platforms

Azure Databricks

Apache Spark

Delta Lake

Terraform (IaC)

AKS

Docker

Security integrations

Data governance tools

Mentoring engineers

Agile delivery

Communication skills

Education

Bachelor Degree

Tools

Terraform (IaC)

Azure DevOps

AKS

Docker

Job description

Randstad in Wellington seeks a Lead Data Engineer to shape the technical vision and architecture of a next-generation data platform. You will blend hands-on engineering with architectural guidance to deliver scalable cloud data services that underpin critical decision-making across the public sector.

As a technical lead, you will drive cloud-native best practices across Azure, Databricks, and containerized environments, while mentoring an Agile team of data engineers and collaborating with