Data Architect

Responsibilities

• Design and maintain enterprise data architecture, ensuring scalable, secure, and efficient data solutions.
• Develop and oversee data integration, ETL/ELT processes, and data pipelines across multiple data sources and platforms.
• Act as the subject matter expert for data architecture, providing guidance on data-related initiatives and projects.
• Design and maintain data models, database structures, and data management frameworks to support business and analytics requirements.
• Lead the development of real-time and batch data processing capabilities, including data streaming solutions.
• Ensure data quality, security, governance, and compliance standards are embedded across all data platforms.
• Develop technology roadmaps for data architecture, aligning future capabilities with organisational objectives.
• Support data migration activities from legacy systems to modern platforms while minimising business disruption.
• Collaborate with stakeholders to promote data-driven decision-making and maximise the value of organisational data assets.

Skills & Experience

• Strong experience in Data Architecture, Data Modelling, and Enterprise Data Management.
• Expertise with relational and NoSQL databases, including SQL Server, MySQL, PostgreSQL, and other modern data platforms.
• Experience with data integration and ETL tools such as SSIS, Talend, Pentaho, or similar technologies.
• Knowledge of big data and streaming technologies including Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Python, Java, Scala, or C++.
• Experience with cloud data platforms, metadata management, lineage tools, and cloud architecture frameworks.
• Familiarity with visual analytics and reporting tools such as Tableau and SSRS.
• Experience working with Agile methodologies and collaboration tools