About this role
About Certis
Life at Certis
Duties & Responsibilities
As a Data Architect , you will be responsible for defining and governing Certis’ enterprise data architecture. You will design end-to-end data models, platforms, and integration patterns that support business strategy, analytics, and digital initiatives, while ensuring data is secure, scalable, and fit for purpose.
Your Responsibilities
Enterprise Data Architecture & Design
- Define and maintain the enterprise data architecture, including conceptual, logical, and physical data models aligned with business and technology strategies.
- Design scalable and resilient data architectures to support operational systems, analytics, reporting, and advanced use cases such as AI and automation.
- Establish architectural standards, principles, and patterns for data platforms, integration, and consumption.
- Act as design authority for data-related initiatives, reviewing and approving solution designs to ensure architectural consistency and quality.
Data Platforms & Integration
- Partner with IT and engineering teams to design and evolve data platforms such as data warehouses, data lakes, and streaming architectures.
- Define data integration and interoperability patterns across enterprise systems, cloud platforms, and external partners.
- Guide technology selection and design decisions related to data storage, processing, and analytics tools.
- Ensure data architectures are performant, scalable, and cost-effective.
Data Governance, Quality & Standards
- Embed data governance, data quality, and metadata requirements into data architecture designs.
- Define and enforce data standards, naming conventions, and modelling practices across the organization.
- Collaborate with data governance and security teams to ensure architectures support data quality, lineage, classification, and regulatory requirements.
- Ensure critical data assets are well-documented and aligned with enterprise metadata and governance frameworks.
Security, Privacy & Compliance by Design
- Design data architectures with security, privacy, and compliance embedded by default.
- Partner with security, risk, and compliance teams to ensure appropriate access controls, encryption, and data protection mechanisms are implemented.
- Ensure compliance with relevant data protection regulations (e.g. PDPA, GDPR) and internal security policies.
- Support audits and reviews by providing architectural documentation and guidance.
Stakeholder Engagement & Advisory
- Work closely with business leaders, product owners, and technology teams to understand business requirements and translate them into robust data architectures.
- Act as a bridge between business and technical stakeholders, ensuring data solutions are both technically sound and business-relevant.
- Provide architectural guidance, coaching, and mentorship to solution architects, engineers, and data teams.
- Communicate complex architectural concepts clearly to senior stakeholders and governance forums.
Skills & Experience
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- Minimum 8–12 years of experience in data architecture, data engineering, or enterprise architecture roles.
- Strong expertise in data modelling, data warehousing, data lakes, integration patterns, and analytics architectures.
- Experience designing architectures in cloud and hybrid environments.
- Solid understanding of data governance, metadata management, and data quality concepts.
- Strong knowledge of data security, privacy, and regulatory requirements (e.g. PDPA, GDPR).
- Proven ability to influence architectural decisions and collaborate with senior stakeholders across business and technology.
- Structured, analytical, and pragmatic, with strong communication and problem-solving skills.