*Data Governance

2 weeks ago


Singapore ALLEGIS GLOBAL SOLUTIONS (SINGAPORE) PTE. LTD. Full time

Roles & Responsibilities Allegis Global Solutions is the exclusive Contingent HR services provider for one of the world’s leading banks. At Allegis Global Solutions we’re proud to be the leader in global talent solutions. We draw upon decades of industry expertise to develop innovative tools, products, processes and strategies focused on outcome. Moreover, we’re incredibly proud to have built a culture that empowers our people to make their mark while making deep connections that will last a lifetime. With our passion and culture for talent, we are truly transforming the way the World acquires talent. Our Client is one of the world's most international banks with over 1,100 branches, offices and outlets in 67 countries. They operate in some of the world's most dynamic markets and have been for over 150 years. More than 90 per cent of their income and profits are derived from Asia, Africa and the Middle East. Their brand promise, Here for good, underlines their distinctive approach. Job Summary: Seeking a Data Governance & Platform Engineer to lead the enablement of Data Governance and Platform initiatives. This role will focus on the design, development, and deployment of Data Quality and Data Governance solutions. Job Responsibilities Framework Development: Define, document, and implement a scalable data governance framework, including strategies, policies, standards, and best practices. Establish data standards, best practices, and guidelines to ensure data quality, integrity, security, and regulatory compliance. Data Quality and Integrity: Ensure data quality and integrity by defining and tracking KPIs, conducting regular data quality assessments, and implementing improvement plans. Monitor data integrity, resolve inconsistencies, and implement data validation and cleansing procedures. Develop and maintain data quality rules and integrate them with the Enterprise Governance tools. Metadata Management: Define and implement data catalog capabilities and establish scalable metadata management practices. Catalog existing data sources, document data flow and transformation, and collaborate with data stewards to improve data lineage and metadata management. Utilize Dataplex for automated data discovery, curation, and management at scale. Business Glossary and Data Dictionary: Define and maintain a business glossary to ensure consistent data terminology. Contribute to the development and maintenance of a comprehensive data dictionary. Stakeholder Collaboration: Lead cross-functional collaboration with business units, IT teams, and senior leadership to promote data governance practices. Establish and oversee data stewardship programs, defining roles and responsibilities for data ownership. Engage and support data owners, providing guidance and ensuring accountability. Monitoring and Reporting: Monitor and report on key data governance metrics and overall compliance. Define and track KPIs, monitor adherence to policies and regulatory requirements, and report on progress to senior management. Conduct data governance assessments and support internal and external audits. Training and Support: Provide comprehensive training and ongoing support to employees on data governance principles, policies, and best practices. Develop and lead training and awareness programs. Regulatory Compliance & Risk: Implement controls & ensure compliance with privacy/security regulations (e.g.,GDPR, CCPA,SOC ). Collaborate with Legal and Governance teams on data classification, access control, and support & prepare for internal and external data audits. Platform Administration: Deploying, configuring, and maintaining GCP resources such as virtual machines, storage, networks, and databases. Implementing and managing security settings, access controls (IAM), and policies to protect sensitive data and ensure compliance. Monitoring system performance, optimizing resource utilization, and ensuring high availability and reliability of cloud-based applications and services. Preferred Qualifications At least 8 years of experience in Data Governance & Data Quality implementation with bachelor’s degree in computer science, Engineering, or related field. Strong expertise in Google Cloud Dataplex services and Familiarity with modern data governance platforms (e.g., Collibra, Alation, Atlan and Informatica CDGC) Proven experience in designing and deploying data management solutions using Google Cloud Dataplex, integrating data lakes, data warehouses, BI applications and Proficiency in programming languages such as Java, Python. Experience in data lineage, metadata management, and role-based access control (RBAC) within Dataplex. Experience on Reltio MDM and Any Data governance certifications are added advantage Solid understanding of cloud platforms (preferably Google Cloud) and AWS services. Hands-on experience in implementing data processing frameworks on GCP BigQuery and Google Cloud Storage. Familiarity with data processing frameworks like Apache Spark, Cloud Dataflow and experience with the Google Dataform, Apache Airflow, Tableau, Power BI and Looker Strong problem-solving skills and the ability to collaborate across technical and business teams. Excellent communication skills, both written and verbal. Tell employers what skills you have AirflowApache SparkRegulatory ComplianceHigh AvailabilityInformaticaData ClassificationAdministrationData QualityData GovernanceData DictionaryAccess ControlStewardshipGoogle CloudGCPTerminologyPower BI



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