Data Architect

Venesky Brown
Banavie, UK
17 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Microsoft Azure Big Data Data Architecture Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Interoperability Python (Programming Language)
+17 more
Metadata Microsoft SQL Server Power BI Search Technologies SQL Databases Enterprise Data Management Enterprise Software Applications Azure Data Factory Large Language Models Snowflake Generative AI Data Strategy Togaf Microsoft Fabric Data Management Cloud Integration Data Pipelines

Job description

Venesky-Brown’s client, is currently looking to recruit a Data Architect for an initial short term contract (20 working days) on a rate of £600/day (Outside IR35). This role will be remote.

Requirements

Expert knowledge of enterprise data and analytics architecture, including data modelling, governance, metadata, lineage, master data management, data quality, interoperability and information architecture. Significant experience designing and delivering enterprise data platforms, data warehouses/lakehouses, ETL/ELT processes, APIs, data pipelines and cloud integration solutions. Advanced technical skills in SQL, Python, Power BI and enterprise data governance tools.Strong understanding of AI-enabled data platforms, including Generative AI, Large Language Models (LLMs), AI agents, Vector Search and Retrieval Augmented Generation (RAG), with knowledge of associated governance, security and architectural requirements. Proven experience delivering large-scale data transformation programmes using cloud and enterprise technologies such as Microsoft Azure, Microsoft Fabric, Azure Data Services, SQL Server and Snowflake. Experience evaluating, selecting and implementing enterprise data, analytics, integration and governance platforms, and developing strategic technology roadmaps. Desirable skillsProfessional certifications in Microsoft Azure, Microsoft Fabric, Snowflake, TOGAF, CDMP or equivalent industry-recognised frameworks. Experience leading enterprise-wide data strategy, governance maturity and AI adoption initiatives within complex organisations. Knowledge of semantic modelling, metadata catalogue solutions and advanced analytics ecosystems. Experience supporting the adoption of emerging AI and data technologies in highly regulated environments.

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