An exciting opportunity has emerged for a seasoned Data Architect to become a vital member of our ERM Technology team.

You will report to the Lead Enterprise Architect and join a dynamic team focused on delivering corporate and technology strategic initiatives.

The role demands high-level analytical, problem-solving, and communication skills, along with a strong commitment to customer service.

As the Data Architect for ERM, you will work closely with both business and technology stakeholders, utilizing your expertise in business intelligence, analytics, data engineering, data management, and data integration to significantly advance our data strategy and ecosystem.

Key responsibilities include :

- Empowered to define the data and information management architecture for ERM.

- Collaborate with product owners, engineers, data scientists, and business stakeholders to understand data needs across the full product lifecycle.

- Ensure a shared understanding of our data, including its quality, ownership, and lineage throughout its lifecycle, from initial capture via client interaction to final consumption by internal and external processes and stakeholders.

- Ensure that our data landscape effectively meets corporate and regulatory reporting requirements.

- Establish clear ownership and governance for comprehensive data domain models, encompassing both data in motion and data at rest.

- Provide expert guidance on solution architecture, engineering principles, and the implementation of data applications utilizing both existing and cutting-edge technology platforms.

- Build a robust data community by collaborating with architects and engineers, leveraging this community to implement solutions that enhance client and business outcomes through data.

The successful candidate will have :

- Proven experience as an enterprise data architect.

- Experience in end-to-end implementation of data-intensive analytics-based projects encompassing data acquisition, ingestion, integration, transformation and consumption.

- Proven experience in the design, development, and implementation of data engineering technologies.

- Strong knowledge of data management and governance principles.

- A strong understanding of Azure and AWS service landscapes, particularly data services.

- Proven experience with various data modelling techniques.

- Understanding of big data architectures and emerging trends in technology.

- A solid familiarity with Agile methodologies, test-driven development, source control management, and automated testing