Data Architect

About the role

Certis is looking for a Data Architect to lead the definition, maintenance and enforcement of its enterprise data governance framework, policies, standards and controls. The role sits in the EA & Data Platform team under the Group Technology Office (GTO) Operations Pillar and works closely with business stakeholders, the AI Pillar, Infrastructure, Enterprise Platforms & Solutions, Digital Governance and the CISO team. It acts as design authority for data changes and new implementations that support business strategy, analytics and digital initiatives.

Key responsibilities

• Define and maintain enterprise data architecture principles and governance requirements for conceptual, logical and physical data models.
• Review data architectures for operational systems, analytics, reporting, AI and automation to ensure they are scalable, resilient, secure and aligned with governance requirements.
• Establish and maintain principles, standards and approved patterns for data platforms, integration, management and consumption.
• Act as design authority for data changes, reviewing and approving solution designs for compliance with architecture, governance, security and regulatory requirements.
• Partner with technology and engineering teams so data platforms (data warehouses, data lakes, streaming architectures) follow enterprise governance policies.
• Govern data integration and interoperability across enterprise systems, cloud platforms and external partners.
• Provide governance assurance for technology selections involving data storage, processing, integration and analytics.
• Maintain the data governance framework and enforce requirements on ownership, stewardship, classification, quality, metadata, lineage, retention and access.
• Ensure data solutions comply with security, privacy, internal control and regulatory obligations, working with security, risk and compliance teams on access controls, encryption and data protection.
• Monitor adherence to architecture and governance frameworks and escalate material exceptions.
• Translate business and regulatory needs into governance policies and standards, coach data owners, stewards and delivery teams, and act as a bridge between business, governance, security, risk, compliance and technology.

Required profile

• Bachelor's degree in Computer Science, Information Systems, Engineering or a related discipline.
• Minimum 8 years of experience in data governance, data architecture or enterprise architecture, including architecture assurance, governance frameworks, standards and design review.
• Strong expertise in enterprise data architecture, data integration, metadata management, data quality and the governance of data platforms and analytics architectures.
• Strong knowledge of data security, privacy and regulatory requirements (e.g. PDPA, GDPR).
• Ability to influence architectural decisions and collaborate with senior stakeholders.
• Structured, analytical and pragmatic, with strong communication and problem-solving skills.

Required skills

• Knowledge of data governance, metadata management, data quality and data platform technologies such as Databricks and Snowflake is advantageous.