Data Solutions Architect

Job Description

About the role:  

A Data Architect is a senior and specialist role within the DataDivers.io business. This role possesses ICT technical expertise as well as considerable experience in one or more areas such as data analysis, data engineering, data manipulation and data visualisation.    

The Data Architect is responsible for contributing to the design and management of an organisation’s data systems and infrastructure. Data Architects create blueprints for how data is collected, stored, organised and accessed across the organisation. Activities the Data Architect will undertake include modelling, database design, integrations and data governance. Data Architects use their skills and expertise to design and manage robust data architectures that align with organisational goals, thereby facilitating lasting sustainability for their clients through the delivery of pragmatic solution outcomes.  

This role works at an enterprise level, engaging with the client’s Executive and operational leads to   understand the organisation’s data needs. The Data Architect assesses the quality of the organisation’s data, using the data to provide client insights and present views on how that insight can bring benefit to the client’s organisation.   

Key Responsibilities:

Data Architecture Design: 

• Primarily responsible for designing the overall data architecture of an organization, including data models, data integration patterns, database structures, and data governance frameworks. 
• Evaluate and select appropriate data storage, processing, and integration solutions (e.g., databases, data lakes, lakeh)

 Modelling:  

• Design and create data models (conceptual, logical, and physical) for data warehouses, data lakes, lakehouses, and databases. 
• Use data models to represent the data structure and relationships within systems representing business processes and functional areas with the business. 
• Developing scripts or applications for data manipulation, integration, or analysis. 
• Analyse and optimise business processes that rely on data for decision-making. 
• Create and manage database schemas to ensure efficient data storage and retrieval. 
• Applying techniques and tools to process and analyse large datasets, often leveraging big data technologies.  

Data Governance: 

• Establish data standards, policies, and best practices to ensure data integrity and security. 
• Implement data governance best practices to ensure compliance. 
• Maintain documentation of data sources, pipelines, and architecture. 
• Understand and implement data governance, quality, and lifecycle management processes. 
• Ensure data security measures are in place to protect sensitive information and comply with regulations. 

Skills (Level: High)

• Skills Framework for the Information Age (SFIA) https://sfia-online.org/en
• Expertise in data modelling and database design principles
• Business consulting experience
• Conceptual thinking
• Leadership and relationship management
• Communication and collaboration
• Define and implement processes to support data governance, quality, and lifecycle management
• Ability to design models to represent the data structure and relationships within the system
• Apply techniques and tools to process and analyse large datasets, often leveraging big data technologies
• Experience employing data security measures to protect sensitive information and comply with regulations
• Analyse and optimise business processes that rely on data for decision-making
• Align data architecture with overall enterprise architecture frameworks and business strategies
• Provide expert advice in specific technologies relevant to data management and architecture

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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