Cloud Engineer

Level: ARPC 5/6

This role is responsible for supporting the implementation and development of ARPC’s enterprise Azure data cloud infrastructure by creating integrity, maximising agility, scalability, self-service and unlocking efficiencies across the cloud technology.

Key responsibility

Role model ARPC’s Values and Code of Conduct and capabilities set out in ARPC’s Capability Framework.

Data Architecture

• Assist with the implementation of ARPC’s enterprise data roadmap that aligns with ARPC IT cloud first principle to meet the business strategic and operational outcomes.
• Review and refine the cloud data & analytics delivery platform to enhance the integration of new sources, performance of existing data delivery and rapid development of new subject areas to ensure optimal performance and scalability.
• Develop systems and processes to build data sharing capabilities with external stakeholders.
• Deploy and manage various Azure servers (IaaS), data warehouses, Azure Data Factory, Azure Batch, SQL PaaS databases, automated continuous integration / continuous delivery (IC/DC) pipelines and integrations to support seamless data operations.
• Automate infrastructure provisioning and configuration tasks to improve efficiency and reduce manual workload.
• Liaise with internal and external stakeholders to align data solutions with business objectives.

Data Operations

• Optimise and refine existing systems to improve performance and cost-efficiency.
• Monitor system performance continuously and troubleshoot issues promptly to minimise downtime.
• Ensure data integrity, governance, quality, and security best practices are implemented to safeguard data that meets compliance & regulatory standards.
• Own business support documentation, support impact assessments, process mapping, procedure documentation and improvement of data platforms, systems and services.

Reporting and Analysis

• Create and maintain rich interactive reporting and visualisations through data interpretation and analysis, with components from multiple data sources.
• Work closely with ARPC business teams to understand and maintain focus on their analytics needs, including critical metrics and KPIs.

Due to the Christmas period the closing date for applications will be in the New Year, Monday 13 January 2025.

Contact: [email protected]