Domain lead - Data Engineering

Foodstuffs North Island; Māngere-Ōtāhuhu; On-site; NZD 150,000 - 250,000; Full time

Benefits offered by this job

Learning programs

Vaccinations

Flexible work

Birthday leave

Car parking

Onsite cafe discounts

Job summary

Foodstuffs North Island is seeking a Domain Lead for Data Engineering to steer the data engineering direction, strategy and capability across the organisation. You will lead through Principal Engineers and Tech Leads to turn strategy into tangible engineering outcomes and shape a scalable data ecosystem.

You will work with Data Engineering, Architecture, Analytics, Governance and business domains to drive data as a product and deliver trusted, reusable data assets for the enterprise.

Qualifications

• Significant leadership experience across enterprise-scale data engineering, data platforms, analytics engineering or data architecture.
• Understanding of modern data architecture, cloud platforms, data lakehouse and data mesh.
• Experience establishing data engineering standards and guardrails.
• Experience with data-as-a-product concepts.
• Experience with DataOps, CI/CD, data quality and observability.
• Knowledge of data governance, privacy, lineage and quality.
• Experience with enterprise data and analytics technologies like BigQuery, SAP Datasphere, Power BI.
• Ability to balance engineering excellence with business value.

Responsibilities

• Set the direction for modern data engineering across the domain.
• Lead through Principal Engineers, Tech Leads and Chapter Leads to shape technical detail with clear accountability.
• Champion data-as-a-product to create trusted, governed, reusable data assets for the business.
• Drive modern data engineering practices including DataOps, automation, CI/CD, data quality and observability.
• Shape approaches to modern data platforms including cloud data platforms, lakehouse, data fabric and data mesh.
• Balance autonomy with enterprise standards for security, quality, governance and engineering.
• Build and develop Data engineering capability through leadership and communities of practice.

Skills

Data leadership

Enterprise data

Data platforms

Analytics engineering

Data architecture

Cloud platforms

Data governance

Tools

Google BigQuery

SAP Datasphere

Power BI

SAP Analytics Cloud

Job description

Ko wai mātou – About us

Kia ora. We’re Foodies. You know New World, PAK’nSAVE and Four Square right? That’s us!

With 300+ stores and over 27,000 Foodies across Te Ika-a-Maui, our North Island Co-op has the privilege of helping New Zealanders get more out of life. Locally owned, we reflect the communities we serve, and we celebrate our people - our taonga, every day for being uniquely them.

Our Support Centre is 1,500+ people strong, which includes 500+ IT employees, who all play a vital role in ensuring the cogs of our Co-op stay turning and our systems stay ‘byte’-sized and ‘bug’-free.”.

Te Tūranga – About the role

We’re looking for an experienced Domain Lead for Data Engineering to lead the engineering direction, strategy and capability of our Data domain.

This is a senior leadership role with the opportunity to influence how data is engineered, governed, shared and consumed across the organisation. You’ll work across Data Engineering, Architecture, Analytics, Data Governance and our business domains to create a trusted, scalable and sustainable data ecosystem.

You’ll lead through Principal Engineers, Tech Leads, and Chapter Leads setting clear direction and enabling our technical leaders and teams to turn that direction into great engineering outcomes.

What you’ll do

• Set the direction for modern data engineering, establishing practical standards, guardrails, patterns and reference architectures across the domain.
• Lead through technical leaders, empowering Principal Engineers, Tech Leads, and Chapter Leads to shape the technical detail while maintaining clear accountability for domain outcomes.
• Champion data-as-a-product, enabling teams to create data that is trusted, reusable, discoverable, well governed and valuable to the business.
• Drive modern data engineering practices, including DataOps, automation, CI/CD, data quality, observability, metadata and lineage.
• Shape our approach to modern data platforms, including cloud data platforms, lakehouse, data fabric, data mesh, semantic modelling and governed self-service analytics.
• Balance autonomy with consistency, giving teams room to innovate while ensuring enterprise standards for security, quality, governance and engineering are maintained.
• Build and develop our Data engineering capability, strengthening technical leadership, career pathways, communities of practice and succession across the domain.

Ngā painga - What we offer

We’re committed to providing awesome experiences for our people, including offering a range of benefits

• Inhouse learning and development programmes and courses, flu vaccinations, and social network groups (we call them Tribes).
• Flexible working options, a day off on your birthday, long service leave
• Free carparking - we’ve got over 1,000 carparks including EV plugs
• Onsite café with subsidised meals, mini mart, 5% discount at our retail stores

He kōrero mōu - About you

• Significant leadership experience across enterprise-scale data engineering, data platforms, analytics engineering or data architecture.
• Deep understanding of modern data architecture and engineering, including cloud data platforms, data warehouses, data lakes/lakehouse, data fabric, data mesh and modern integration patterns.
• Strong experience establishing data engineering standards, patterns and guardrails that improve quality, security and consistency without creating unnecessary barriers for delivery teams.
• Strong experience with data-as-a-product, including building trusted, governed, discoverable and reusable data assets for enterprise use.
• Experience improving engineering maturity across data quality, DataOps, CI/CD, pipeline reliability, observability, metadata and security-by-design.
• A strong understanding of data governance, privacy, lineage, ownership and data quality, and how these work alongside engineering to create trust in data.
• Experience working with enterprise data and analytics technologies such as Google BigQuery or equivalent cloud data platforms, SAP Datasphere, Power BI, SAP Analytics Cloud, data orchestration and integration technologies.
• Proven ability to balance engineering excellence, business value, governance, commercial realities and long-term platform sustainability.
• Experience supporting the strategic direction, health and investment of enterprise data platforms, including lifecycle management, scalability and cost optimisation.

Experience awesome. Achieve awesome. Be awesomely you.

We’re proud to have a focus on Diversity & Inclusion here at Foodies and welcome courageous behaviour, encourage togetherness, inspire our people to be their best selves in our Foodies whānau.

We welcome your diverse background, including any disability, additional health and mental health needs, and/or neurodiversity.

If you require accessibility support to ensure you can fairly access our recruitment process, please reach out to [e-mail]. Accessibility support could include, interview location, sign language interpreter, assistive technology.

$0 - $0 a year