Data Architect (SC)

Summary: The Data Architect (SC) role requires an individual with active security clearance and extensive experience in data architecture and management. The position focuses on leveraging cloud data platforms and modern data solutions to enable AI and analytics. The successful candidate will be responsible for translating business requirements into scalable technical solutions while ensuring data governance and quality.

Key Responsibilities:

• Active Security Clearance.
• Proven experience in Data Architecture and Data Management.
• Strong knowledge of cloud data platforms (Azure, AWS, or GCP).
• Experience with data warehousing, data lakes, and modern data platforms.
• Understanding of data governance, metadata, and data quality frameworks.
• Expertise in SQL, ETL/ELT, integration technologies, and data modelling.
• Ability to translate business requirements into scalable technical solutions.
• Experience enabling AI and analytics through robust data foundations.

Key Skills:

• Active Security Clearance.
• Proven experience in Data Architecture and Data Management.
• Strong knowledge of cloud data platforms (Azure, AWS, or GCP).
• Experience with data warehousing, data lakes, and modern data platforms.
• Understanding of data governance, metadata, and data quality frameworks.
• Expertise in SQL, ETL/ELT, integration technologies, and data modelling.
• Ability to translate business requirements into scalable technical solutions.
• Experience enabling AI and analytics through robust data foundations.

Salary (Rate): £600/Day

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Essential:

• Active Security Clearance.
• Proven experience in Data Architecture and Data Management.
• Strong knowledge of cloud data platforms (Azure, AWS, or GCP)
• Experience with data warehousing, data lakes, and modern data platforms.
• Understanding of data governance, metadata, and data quality frameworks.
• Expertise in SQL, ETL/ELT, integration technologies, and data modelling.
• Ability to translate business requirements into scalable technical solutions.
• Experience enabling AI and analytics through robust data foundations.