Data Architect - Umhlanga at Ignition Group

Description

The Data Architect is responsible for the design and management of  an organisation's data infrastructure. This includes creating data models, selecting and configuring database management systems, and developing processes for data integration and ETL (Extract, Transform, Load). Data architects ensure data quality, security, and compliance through robust governance policies and scalable, high-performing architectures. They collaborate with IT professionals, recommend new technologies, and maintain documentation and standards to optimize data processes and drive business decisions.

Data Architecture Design

• Develop and drive information and data architecture models and data systems.
• Design new or improved solutions for platform enablement.
• Build data capabilities aligned with Data Architecture principles.

Implementation & Compliance

• Implement the Data Architecture framework, ensuring corrective actions where necessary.
• Support the decommissioning of "non-compliant" environments.
• Ensure compliance with IT Risk and Governance Standards.

Collaboration & Communication

• Collaborate with stakeholders to align data architecture principles and solutions.
• Liaise with cross-functional teams to assess and translate business requirements into scalable data architectures.
• Provide training and communicate architectural designs to relevant audiences.

Performance & Optimisation

• Conduct performance analysis, tuning, and administration of data solutions.
• Drive cost efficiencies and business profitability through effective data management practices.

Monitoring & Advancement

• Keep abreast of advancements in data and technology to simplify the data architecture.
• Monitor operational issues and ensure high levels of data ethics are followed.

Data Systems Development

• Develop data pipelines, models, and database structures.
• Support Information Architects in minimising duplication and streamlining model deployment.

Requirements

Knowledge, skills and attributes:

• Strong expertise in analysis, design, and implementation of data solutions.
• Extensive knowledge of data platforms, data lakes, and data warehousing.
• Knowledge of Data Visualisation tools such as PowerBI.
• Proficiency in data modelling tools such as ER/Studio, Power Designer etc.
• Familiarity with big data platforms like Snowflake, Microsoft Azure and Big Query.
• Strong problem-solving skills and ability to troubleshoot complex data issues.
• Excellent communication skills to convey technical concepts to non-technical stakeholders.
• Proactive approach to staying updated with the latest industry trends and technologies.
• Knowledge of data security and privacy regulations such as GDPR or POPIA.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Excellent planning and organisational skills.
• Ability to work under pressure and meet deadlines.
• Strong relationship-building skills and ability to manage business expectations.
• Proactive and accountable for deliverables.
• Team player with effective collaboration skills.

Education and training:

• Bachelor’s degree in computer science, Information Systems, or a related field.
• Industry certification such as DAMA, AWS, Snowflake, Azure or DMBOK2 is preferred.

Experience:

• Minimum 4 years of proven experience in data management information systems or system analysis.
• Proven experience with data warehouse and BI solution performance analysis, tuning, and administration.
• Hands-on experience with cloud platforms, particularly Azure data services, and familiarity with AWS.