Data Architect

Job Description

Direct Responsibilities

Engage with key business stakeholders to assist with establishing fundamental data governance processes

Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards

Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation

Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects.

Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy

Allows people to step logically through the Information System (be able to train them to use tools like Abacus)

Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings.

Skill Area

Communicating between the technical and the non-technical

Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge.

Data Modelling (Business Flows of Data in Abacus)

Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models.

Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards.

Data Standards (Rules defined to manage/ maintain Data)

Develops and sets data standards for an organisation.

Communicates the business benefit of data standards, championing and governing those standards across the organisation.

Metadata Management

Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets.

Turning business problems into data design

Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements.