Data Domain Architect

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 martsand 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 continued development of the data engineering function.

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.

• 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 to facilitate understanding 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 to high 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.

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 capacity, the Data Architect acts as a trusted advisor on data strategy and platform direction, providing valuable input on data capabilities and trade-offs, and making significant contributions to the development of the data roadmap.

In addition, the Data Architect partners with domain squads, assisting them in designing robust data products and providing architectural designs and technical guidance. The role also encompasses the mentorship of engineers and analysts in areas such as data modelling, integration, and design best practices, thus strengthening the overall technical capability of the team.

At Places for People, we are committed to a safe working environment so a basic DBS check is mandatory.

As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all.

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