Data Architecture

As a Data Architect, you will play a critical role in designing and implementing the data architecture and infrastructure that enables efficient data management, integration, and analysis.

Key responsibilities:

• Develop and implement the overall data architecture strategy and roadmap.
• Design and optimize data models, schemas, and database structures.
• Define data integration and ETL (Extract, Transform, Load) processes.
• Collaborate with stakeholders to gather data requirements and define data standards.
• Ensure data security, integrity, and compliance with data governance policies.
• Evaluate and recommend data technologies, tools, and frameworks.
• Establish data storage and retrieval mechanisms for structured and unstructured data.
• Collaborate with cross-functional teams to develop data solutions aligned with business needs.
• Provide guidance and mentorship to data engineering and development teams.

Typical requirements:

• Bachelor/Master’s/PhD in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Architect or in a similar role.
• Strong understanding of database management systems, data modelling, and data integration concepts.
• Proficiency in data modelling tools and techniques (e.g., ER/Studio, Erwin, UML).
• In-depth knowledge of data architecture patterns, standards, and frameworks.
• Experience with ETL tools and technologies (e.g., Informatica, Talend).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation skills to convey complex concepts to stakeholders.
• Ability to work collaboratively and effectively in a cross-functional environment.