2 of 2 Contract Data Integration Jobs in Kent

Data Architect- £500PD- Remote Role Overview: As a Data Architect, you will be responsible for shaping and executing our data strategy, ensuring data quality, accessibility, and security across diverse platforms and systems. This role requires a visionary leader with a comprehensive understanding of modern data architectures and governance frameworks. You will collaborate with cross-functional … teams to design scalable, efficient, and secure data solutions that meet current and future business needs. Key Responsibilities: Design and develop enterprise data architecture and solutions to support business objectives. Lead data modeling initiatives, selecting appropriate techniques and tools for various use cases. Architect and implement data storage solutions, including relational databases, NoSQL, and data lakes. Develop and oversee data integration strategies, including ETL/ELT processes and data pipeline orchestration. Ensure data governance practices are embedded across data assets, focusing on data quality, metadata management, and access control. Collaborate with IT and business stakeholders to align data architecture with organizational goals. Evaluate and implement big data More ❯

Data Architect - Contract We are seeking a skilled Data Architect to lead the design, development, and oversight of our enterprise-wide data infrastructure. This role plays a key part in defining our data strategy and ensuring high standards of data quality, accessibility, and security across multiple systems and platforms. The ideal candidate will be a … strategic thinker with strong expertise in modern data architectures and data governance practices. Required Skills and Experience: Proven experience as a Data Architect or in a similar senior data-focused role. Extensive experience with various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and … their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed More ❯