Data Domain Architect

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More about PfP
Many organisations offer interesting work. Few offer the opportunity to improve lives  Places for People, we're creating thriving communities, providing homes, support, and opportunities that help people live healthier, happier, and more successful lives. For those who want their work to deliver meaningful impact beyond commercial outcomes, this is a chance to combine professional excellence with genuine social purpose.
More about the team
The Data and Platform Engineering team are the foundation for the Data Office function. Responsible for designing, building, and maintaining  PfP's  data platform we extract data from source, transform it into a usable format, load it into consumer models and  marts     and     build and manage the infrastructure to do all this work.
Data Engineering are transforming the way  PfP  consumes data. Having transitioned from On Premise to Google Cloud we are  in the process of building  a leading-edge Data Mesh platform. This is an exciting time to join a growing business function, with the opportunity to make your mark  defining  the architecture of the  data  platform and the  con  tinued  development of the data engineering function.

The Role of the Data Architect
The Data Architect occupies a pivotal position within our data engineering team, driving both strategic and enabling initiatives. This individual is instrumental in ensuring that our data platform supports decentralisation, in line with data mesh principles. Furthermore, the Data Architect guarantees that our data products are interoperable, well-governed, and consistently aligned with both enterprise standards and the overarching data platform.

Key Responsibilities
Data Platform Architecture Design:
Overseeing the comprehensive design of the data platform's architecture, ensuring it meets current and future needs.
Architectural Documentation:
Producing clear, detailed architectural documentation and diagrams tofacilitateunderstanding and implementation.
Domain-Oriented Ownership:
Embedding a domain-oriented ownership model and fostering a Data as a Product (DaP) mindset across all development efforts.
Tool and Service Evaluation:
Assessing and recommending the most suitable tools, infrastructure, and services to enhance the platform.
Architectural Standards:

Establishing and maintaining architectural standards, reference architectures, and best practices throughout the team.
Governance:
Designing solutions that uphold governance, security, and quality requirements.
Data Product Design Standards:
Ensuring that data products are discoverable, interoperable, and trustworthy, adhering tohigh standards.
Data Pipeline Design:
Designing robust data pipelines, including batch, event-driven, and streaming architectures.
Operational Considerations:
Addressing operational concerns such as security, scalability, performance, observability, and user experience.
Collaboration and Advisory Functions
The Data Architect works closely and collaboratively with the Principal Data Platform Engineer and the Principal Data Engineer to architect and develop the data platform. In this…