

TXP
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect on a contract basis, requiring SC clearance, with a focus on enterprise analytics. Key skills include data architecture, metadata management, and experience in Agile/Scrum environments. Pay rate and location details are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Yes
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📍 - Location detailed
England, United Kingdom
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🧠 - Skills detailed
#Data Ingestion #Data Management #Metadata #SAS #Scala #Datasets #Compliance #Data Governance #Scrum #Agile #Data Architecture #Data Profiling
Role description
Data Architect – Enterprise Analytics Platform
SC clearance is highly preferred
Role Overview:
We are seeking a Data Architect to join a Scrum team delivering data ingestion and processing capabilities within a strategic enterprise analytics platform. The platform enables advanced analytics and decision-making by consolidating multiple complex data sources into a secure, scalable, and governed environment.
In this role, you will define and maintain data architecture, establish standards, and translate complex business requirements into robust, compliant solutions that align with enterprise principles. You will work across technical and non-technical stakeholders to ensure the platform supports critical operational and analytical needs.
Key Responsibilities:
• Design, maintain, and optimise data models and architecture to meet strategic organisational needs.
• Establish and enforce data standards, metadata management, and governance practices.
• Translate business requirements into scalable, compliant, and high-performing data solutions.
• Collaborate with technical and non-technical stakeholders to ensure alignment and usability of data assets.
• Undertake data profiling, analysis, and reporting to support insight-driven decision-making.
• Support problem management and continuous improvement across the data environment.
Skills and Experience:
• Proven experience in data architecture and modelling within large-scale, complex enterprise environments.
• Demonstrated experience working with high-volume, high-complexity datasets and enterprise-wide platforms.
• Strong understanding of metadata management, data governance, and compliance requirements.
• Experience translating business requirements into scalable, compliant, and high-performing data solutions.
• Knowledge of SAS and enterprise data platforms is desirable.
• Excellent analytical, problem-solving, and communication skills.
• Experience working within Agile/Scrum delivery frameworks.
Data Architect – Enterprise Analytics Platform
SC clearance is highly preferred
Role Overview:
We are seeking a Data Architect to join a Scrum team delivering data ingestion and processing capabilities within a strategic enterprise analytics platform. The platform enables advanced analytics and decision-making by consolidating multiple complex data sources into a secure, scalable, and governed environment.
In this role, you will define and maintain data architecture, establish standards, and translate complex business requirements into robust, compliant solutions that align with enterprise principles. You will work across technical and non-technical stakeholders to ensure the platform supports critical operational and analytical needs.
Key Responsibilities:
• Design, maintain, and optimise data models and architecture to meet strategic organisational needs.
• Establish and enforce data standards, metadata management, and governance practices.
• Translate business requirements into scalable, compliant, and high-performing data solutions.
• Collaborate with technical and non-technical stakeholders to ensure alignment and usability of data assets.
• Undertake data profiling, analysis, and reporting to support insight-driven decision-making.
• Support problem management and continuous improvement across the data environment.
Skills and Experience:
• Proven experience in data architecture and modelling within large-scale, complex enterprise environments.
• Demonstrated experience working with high-volume, high-complexity datasets and enterprise-wide platforms.
• Strong understanding of metadata management, data governance, and compliance requirements.
• Experience translating business requirements into scalable, compliant, and high-performing data solutions.
• Knowledge of SAS and enterprise data platforms is desirable.
• Excellent analytical, problem-solving, and communication skills.
• Experience working within Agile/Scrum delivery frameworks.






