Senior Data and Analytics Technical Lead – Cloud & BI

Watercare; Auckland; Hybrid; NZD 150,000 - 190,000; Full time

Job summary

Watercare in central Auckland is seeking a Data & Analytics Technical Lead to shape the technical direction of the end-to-end data and analytics capability. You will set standards across ingestion, transformation, modelling, analytics products and BI, while remaining hands-on on high-value initiatives.

You will lead design assurance, coach engineers and data scientists, translate business needs into scalable designs, and collaborate with stakeholders to deliver secure, scalable cloud data

Qualifications

• Experience designing and delivering enterprise data/analytics solutions in cloud environments.
• Advanced knowledge of data engineering, analytics engineering, dimensional modelling, data warehousing and modern data platform patterns.
• Experience with Snowflake, dbt, Power BI, Azure or comparable technologies.

Responsibilities

• Lead design and assurance of complex data and analytics solutions.
• Translate business requirements into scalable technical designs and practical implementation guidance.
• Review designs, code and release approaches, identifying risks, dependencies and technical debt.
• Coach data engineers, analytics engineers, analysts and data scientists.
• Explain technical options, risks and trade-offs clearly to technical and non-technical stakeholders.

Skills

Data architecture

Cloud data platforms

Snowflake

dbt

Power BI

Azure

Data modeling

CI/CD

Leadership

Stakeholder communication

Education

Bachelors in analytics

Tools

Snowflake

dbt

Power BI

Azure

CI/CD tooling

Source control

Job description

Watercare in central Auckland is seeking a Data & Analytics Technical Lead to shape the technical direction of the end-to-end data and analytics capability. You will set standards across ingestion, transformation, modelling, analytics products and BI, while remaining hands-on on high-value initiatives.

You will lead design assurance, coach engineers and data scientists, translate business needs into scalable designs, and collaborate with stakeholders to deliver secure, scalable cloud data