全职 Technical Data Governance Manage 工作, 薪水 up to SGD 9,000, ONE TECH STOP PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

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.