Data Architect (11248)

Ensure data quality, lineage, governance, and security are incorporated into solution design

Collaborate with engineers and consultants and facilitate workshops and design discussions with clients and delivery teams

Evaluate design options and contribute to best practices, reusable assets, and mentoring of junior team members

About the Candidiate:

Experience in data engineering, data solution design, or data architecture roles, with strong expertise in Microsoft Azure data services and modern cloud platforms (e.g. Databricks)

Good understanding of end-to-end data architecture, including ingestion, transformation, storage, modelling, and reporting

Experience with Azure services such as Data Factory, Databricks, Synapse Analytics, Fabric, or Data Lake Storage

Strong understanding of data modelling concepts, including logical, physical, dimensional, and analytical models

Ability to design practical, maintainable data solutions aligned to business and technical requirements, and produce architecture artefacts and technical documentation

Experience working in customer-facing roles, engaging effectively with clients and stakeholders

Strong understanding of data quality, security, access control, and governance principles, with good communication, facilitation, and problem-solving skills

Self-sufficient and collaborative, with the ability to work independently, alongside a structured, detail-oriented, and outcome-focused approach

Experience with Microsoft Fabric, lakehouse architectures, and hands-on development using Python, SQL, or Spark would be advantageous, along with familiarity with integration technologies

Knowledge of DevOps practices, Infrastructure as Code, data governance tools (e.g. Purview), Power BI, other cloud platforms, and exposure to AI/ML use cases would be beneficial

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Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.