Data Architect

Venesky Brown; Aberdeen City; Hybrid; GBP 96,000 - 126,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Venesky-Brown’s client, a public sector organisation with offices across Scotland, is recruiting a Data Architect on a 3 month contract at £600/day (Inside IR35). The role is hybrid with occasional on-site meetings in Aberdeen.

The candidate will design and implement enterprise data platforms, oversee data lake/warehouse architecture, data governance, and BI analytics to drive data-driven decisions and future AI capacity.

Responsibilities

• Design and establish the foundations of an enterprise data platform, including data lake, data warehouse architecture, governance model and initial implementation, enabling the organisation to become data-driven and support future AI and analytics capabilities.
• Data Lake and Data Warehouse design
• Data modelling (conceptual, logical and physical)
• ETL/ELT and data integration
• Data governance and data quality
• BI and analytics platforms (e.g. Power BI)
• Stakeholder engagement and requirements gathering
• Microsoft Fabric implementation and administration
• Microsoft Purview or equivalent data governance tools
• Power BI semantic modelling and reporting
• Master Data Management (MDM)

Job description

Venesky-Brown’s client, a public sector organisation with offices across Scotland, is currently looking to recruit a Data Architect for a 3 month contract on a rate of £600/day (Inside IR35). This role is hybrid based with occasional meetings onsite in Aberdeen.

Responsibilities:

• Design and establish the foundations of an enterprise data platform, including data lake, data warehouse architecture, governance model and initial implementation, enabling the organisation to become data-driven and support future AI and analytics capabilities.
• Data Lake and Data Warehouse design
• Data modelling (conceptual, logical and physical)
• ETL/ELT and data integration
• Data governance and data quality
• BI and analytics platforms (e.g. Power BI)
• Stakeholder engagement and requirements gathering
• Microsoft Fabric implementation and administration
• Microsoft Purview or equivalent data governance tools
• Power BI semantic modelling and reporting
• Master Data Management (MDM)