Data Architect

Location: Nantgarw

Data Architect | Hybrid | RCT (South Wales)

Inta People are proud and excited to be appointed to recruit an experienced Data Architect for a Welsh-based not-for-profit sector client on an exclusive growth project.

This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first handful of team members in this area of the business which will work with external partners to build out the organisations data capability offering. As a Data Architect, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data
-driven decisions at a enterprise level.

Working closely with the ‘Head of Data Engineering’ you will help grow out this data function with the recruitment of further data engineering resources whilst working closely with solutions architects and Software Engineers. You will also get the opportunity to progress into a leadership role if this suited the individuals’ desires and capabilities.

You will shape, govern and assure the organisation’s data architecture, defining, designing and maintaining strategic data models, standards, flows and governance structures that support organisational goals, ensure compliance, foster collaboration across business areas, and enable the organisation to make data-driven decisions

Essential Skills

Proven experience as a Senior Data Engineer or Data Architect (or similar/related role).

Experience with Enterprise level Data sets.

Expertise and practical experience in designing and aligning data models across multiple subject areas, applying recognised patterns and industry standards.

Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent.

Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services.

Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions.

Experience of communicating technical information and data to a non technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs.

Ability to lead and mentor other team members.

Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure or AWS.

Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud
-based architectures.

Robust understanding of data governance, data quality, and metadata management.

Desirable skills

Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.

Experience in using Git, Azure Dev Ops, or Git Hub Actions for version control, CI/CD, and collaborative data delivery.

Experience with Big Data.

Certification in data architecture or governance frameworks (e.g., TOGAF, DAMA, DCAM, EDMC).

Experience of using programming languages such as Python, Scala and SQL

Welsh language skills.

Key Responsibilities (at a glance):

Establish Data strategies and data modelling internally within the data estate

Lead the design and oversight of enterprise‑aligned data models and supporting data architecture, ensuring that all modelling approaches follow organisational standards, recognised patterns, and enable scalable, high‑quality data flows across services.

Provide expert architectural guidance to technical teams delivering cloud‑based data platforms, ensuring that data integration, modelling, metadata and design decisions align with organisational and enterprise-wide standards

Work closely with other business leaders to maintain governance and compliance within their data estate.

Work closely with data analysts,data engineering, Enterprise and solution architects, Dev Ops, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.

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