Job Description

Job Summary Key Responsibilities:
Best Practice Research:

• Conduct research on developments and trends in Data Architecture.
• Ensure knowledge of industry standards and best practices, identifying gaps for improvement.

Data Architecture:

• Partner with business and data colleagues to refine requirements and translate them into design documents.
• Ensure all aspects of the data platform are considered, including data management, storage, access, data science, and reporting tools.
• Design and implement database solutions to store and retrieve organizational data.
• Evaluate stakeholder operations, applications, and programming to identify database structural necessities.
• Assess database implementation procedures for compliance with regulations.

Technical Implementation:

• Install and organize information systems to ensure organizational functionality.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor system performance through regular tests and troubleshooting.
• Recommend solutions to improve new and existing database systems.

Support and Training:

• Educate staff on SQL-related procedures and software usage.
• Provide support for system issues in a timely manner.

Risk, Data, and Compliance Management:

• Ensure full compliance with statutory regulations, policies, and procedures.
• Consider data security in the design and implementation of data solutions.
• Utilize data profiling tools and understand data flows between systems.

Skills Profile:
Education:

• Bachelors Degree in computer science, engineering, mathematics, statistics, or a related field.

Knowledge and Experience:

• Minimum of 5 years experience in data engineering and data architecture.
• Experience with databases and large-scale data management.
• Good understanding of relational databases and organizational systems.
• Project management or consulting experience in cross-functional projects.
• Certifications in big data and cloud infrastructure are advantageous.
• Expertise in software development, data analysis, data structures, algorithms, and distributed computing.
• Understanding of physical database design principles and the system development life cycle.
• Knowledge of ETL processes and data profiling tools.
• Familiarity with multi/hybrid cloud environments.

Key Skills:

• Strong analytical skills and attention to detail.
• Ability to work in an agile, multi-disciplined environment.
• Solution-focused with a collaborative mindset.
• Excellent organizational, problem-solving, and communication skills.

Managerial/Specialist Skills:

• Coaching and development of team members.
• Leading and managing change initiatives.
• Performance development and action-oriented decision making.
• Managing self and prioritizing tasks effectively.
• Customer focus and continuous improvement mindset.
• Building relationships and effective teamwork.

Values and Behaviours:

• Commitment to our client's core values: Care, Truth, Dignity, Compassion, and Participation.
• Uphold the clients service standards of respect, identity, dignity, hygiene, compassion, appreciation, and inclusivity.

How to apply:
Interested candidates who meet the above criteria are requested to apply online OR e-mail a detailed CV to .Network FinanceRecruiter

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