Job Overview
We are seeking a Data Governance Engineer (with GCP / BigQuery) to design and maintain robust data architecture and governance practices within a large organisation. The person in this role will collaborate with business analysts, data stewards and domain experts to define modelling standards, documentation and controls that ensure high-quality, secure, scalable and cost-efficient data solutions on Google Cloud Platform.
Responsibilities
- Develop and maintain data modelling standards for data warehouse layers, including integrated and analytical layers.
- Design data models and reference architectures optimized for BigQuery, applying partitioning, clustering and query optimisation techniques.
- Lead integration efforts for ingesting and consolidating data from multiple source systems, ensuring consistency and lineage.
- Define and document data governance policies, data dictionaries, metadata standards and lineage documentation in collaboration with data stewards and owners.
- Collaborate with business stakeholders to align business definitions and semantic models with technical implementations.
- Assess and improve data quality controls, implement monitoring and remediation guidance for data issues.
- Work alongside data engineers and implementation teams to deliver efficient, scalable and secure data solutions on GCP.
- Advise on GCP security controls, IAM, encryption, audit trails and access control for data environments.
- Identify cost drivers and recommend optimisation measures for storage, query execution and processing on BigQuery and related services.
- Contribute to governance operating models and role definitions for data owners, data stewards and other governance roles.
Qualifications
- Proven experience in data modelling for data warehouses and analytical layers.
- Experience integrating data from multiple source systems and defining consistent semantic models.
- Practical knowledge of BigQuery modelling best practices and Google Cloud data services.
- Experience in data governance within a large organisation; experience in the financial sector is advantageous but not required.
- Familiarity with data governance concepts including data ownership, stewardship, data dictionaries, metadata and lineage.
- Experience aligning business definitions and data semantics across stakeholders.
- Understanding of data quality issues and approaches to measurement and remediation.
- Experience designing performant, scalable and secure data solutions, including considerations for partitioning, clustering and query optimisation.
- Experience working with engineering teams to operationalise data models and governance standards.
- Knowledge of security topics relevant to GCP: IAM, encryption, auditing and access control.
- Strong communication skills and the ability to translate business requirements into technical data requirements.
Benefits
- Professional development opportunities and collaboration with cross-functional teams.
- Engagement in designing enterprise-level data governance and architecture on a modern cloud platform.
- Work with experienced data professionals and subject-matter experts across domains.
- Competitive compensation and role-specific allowances where applicable.
- Support for ongoing technical training and certification related to Google Cloud and data technologies.