Senior Leader, Data Platforms & Engineering

Kāinga Ora - Homes and Communities; Wellington; On-site; NZD 140,000 - 190,000; Full time

Benefits offered by this job

Five weeks' annual leave

Insurance package

Flexible working arrangements

Career development

Job summary

Kāinga Ora - Homes and Communities is seeking an experienced Manager - Data Engineering to lead delivery, operation, and evolution of our enterprise data engineering capability. You will ensure data platforms, pipelines and analytics environments are reliable, secure, and scalable to support business outcomes.

As a leader in Digital IT, you will oversee modern data engineering practices and partner with Technology Operations, Architecture & Security, and business teams to meet growing data needs

Qualifications

• Proven experience leading data engineering and platform teams.
• Experience managing enterprise data platforms with focus on stability, performance and improvement.
• Strong knowledge of modern data platforms, cloud services, pipelines, and integration techniques.
• Expertise in governance, security, operational support, and lifecycle management.

Responsibilities

• Lead the delivery, operation and evolution of Kāinga Ora’s data engineering capability.
• Ensure data platforms are reliable, secure, scalable and capable of delivering timely insights.
• Collaborate with Technology Operations, Architecture & Security, Data, and business teams to support organisational needs.

Skills

Data engineering leadership

Data platforms

Cloud data services

Data pipelines

Data integration

Governance & security

Stakeholder engagement

Continuous improvement

Job description

Kāinga Ora - Homes and Communities is seeking an experienced Manager - Data Engineering to lead delivery, operation, and evolution of our enterprise data engineering capability. You will ensure data platforms, pipelines and analytics environments are reliable, secure, and scalable to support business outcomes.

As a leader in Digital IT, you will oversee modern data engineering practices and partner with Technology Operations, Architecture & Security, and business teams to meet growing data needs