Job Description

JOB PURPOSE

Owns the technology relationships up to CxO level & supports technology thought leadership.
Collaborates, consults and provides ONE system standards, best practices and guidelines and overall architectural principles, frameworks, and standards in an engagement.
Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
Develops POCs to evaluate new technologies and makes recommendations.
Designs and/or proposes enhancements to improve the performance, availability and reliability of the system architectures.
Ensures that we are continuously raising our standard of engineering excellence.
Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
Assist and supporting the lead architects to research & develop the Enterprise IT Roadmap
Lead the technical strategy, design, and operationalization of our enterprise data governance platform.
Bridge the gap between business compliance requirements and modern technology stack architecture.
Automate data discovery and establish automated data quality pipelines.
Bridge the gap between business compliance requirements and modern technology stack architecture.
Enforce access control policies and manage metadata frameworks across cloud-native environments, multi-tenant SaaS products, and enterprise data platforms.
PRIMARY JOB RESPONSIBILITIES (Describe the major responsibilities of this position)
Duties and Responsibilities
Governance Platform Architecture & Automation:
- Design, implement, and maintain the technical infrastructure supporting data governance, compliance, metadata management, and dynamic data lineage.
- Lead evaluation, integration, and management of enterprise data governance tools (e.g., Collibra, Google Knowledge Catalog).
- Automate metadata ingestion, data dictionary creation, and schema mapping across cloud data platforms (BigQuery, Snowflake).
Implement automated RBAC, ABAC, row/column-level security, and dynamic data masking in coordination with InfoSec.
Data Observability & Quality Engineering:
- Establish automated data quality frameworks, integrating continuous data observability tools into CI/CD pipelines.
- Define and monitor technical Data Quality SLAs (completeness, accuracy, freshness, lineage) for core business domains.
- Partner with Data Engineers to implement automated data retention, archiving, and deletion workflows for privacy regulations (GDPR, CCPA, PDPA).
Technical Leadership & Cross-Functional Collaboration:
- Lead and mentor a team of Data Governance Engineers, Technical Data Stewards, and Data Analysts.
- Embed Governance-by-Design principles into software development and product engineering life cycles.
- Collaborate with Legal, Risk, and InfoSec teams to operationalize regulatory rules into programmatically enforceable technical policies.
Create developer-friendly documentation, API specs for governance tooling, and architectural SOPs.
POSITION QUALIFICATIONS AND REQUIREMENTS (To be fully competent in the job)
1. Special Skills (Computer skills, quality knowledge, special programmes)
- Governance & Cataloging: Collibra, Good Knowledge Catalog
- Data Stack: BigQuery, Snowflake, Databricks
- Programming & Scripting: Python, Java
- Security & Observability: IAM, Okta, DevSecOps,
- Certifications: DAMA CDMP, ISACA CDPSE, CISA, or AWS/GCP/Snowflake Certifications (preferred)
2. Preferred Education
- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or related field.
3. Work Experience (years of experience in the industry and functional area)
- 10-13 years of experience in Data Engineering, Data Architecture, or IT Management.
- At least 5+ years directly leading technical data governance initiatives.
- Hands-on experience implementing data governance within a Data Mesh or decentralized data platform model is preferred.