Data Architect - Welgemoed at Sanlam Private Wealth

Job description

Key Responsibilities:

• Set up a Data Governance Framework
• Develop strategies for Master Data Management including data acquisition, integration and archiving
• Perform enterprise data model validation and customization in discussion with different stakeholder groups
• Define Data Quality Standards based on business rules
• Design, maintain, optimize and build conceptual, logical and physical database models for relational databases, data warehouses and multidimensional database to satisfy application requirements
• Implementation of the data quality and business rules and migration data mapping
• Design data solutions based on business strategy, client needs, best-practice knowledge, considering application design and development, integration and control of data, and the future technology direction, including migration plans to move from current to target state architecture.
• Assist in ensuring that all aspects of the solution design and implementation are done according to the agreed architecture frameworks, architectural principles and standards, continuously driving towards future state architecture.
• Provide data and related application architecture related thought leadership to the management team and related project leaders where architectural expertise is required and as input to solutions design
• Using appropriate tools, contribute to the development of the data and application architecture repository
• Produce detailed component specification guidelines as input into solution design
• Provides advice on architectural aspects of system development and integration (including requests for changes, deviations from specifications, etc.)
• Ensure that relevant technical strategies, policies, standards and practices (including security) are applied in line with defined architecture
• Build networks with vendors, the wider Sanlam Group, carryout research and consult industry experts with regard to best practice and technology trends

Minimum Requirements:

• Tertiary qualification
• 2 – 5 years of experience in data analysis, data modelling processes and techniques
• Experience in Financial Services Industry advantageous
• Working knowledge of TOGAF methodology advantageous

Technical Competencies:

• Experience with Data Modelling (conceptual, logical and physical), Data Warehousing (data analysis, data mart design and build)
• Business Intelligence (reporting to advanced analytics including real-time analytics)
• Data Integration (patterns and technologies, real-time data streaming & virtualisation)
• Broad understanding of data quality management, data governance, master and reference data management, metadata management, data security and document and content management

Behavioural Competencies:

• Strong numerical orientation
• Highly organized with a high level of customer focus
• Accurate and attention to detail
• Critical and analytical capability
• Big picture thinker
• Ability to perform well under pressure and show maturity, confidence and resilience
• Excellent listening, communication and interpersonal skills
• Pro-Active approach to work, clients, problem solving
• Learning agility and curiosity
• Assertive
• Accountability and Passionate ownership for results