Callen-Lenz

Data Engineer

• Develop and maintain the enterprise data architecture roadmap aligned with business objectives.
• Design logical and physical data models supporting current and future enterprise applications.
• Define standards, principles, and best practices for enterprise data management.
• Create and maintain data dictionaries, metadata repositories, and documentation.
• Establish scalable architectures supporting ERP, PLM including Manufacturing Systems, and reporting platforms.
• Collaborate with business and technical stakeholders to ensure data structures support operational and strategic requirements.
• Lead the organisation's Data Governance framework and strategy.
• Establish policies, standards, controls, and procedures governing enterprise data.
• Define ownership, stewardship, and accountability models for critical business data.
• Develop data quality metrics and governance KPIs.
• Support compliance requirements related to data security, privacy, retention, and auditability.
• Administer, monitor, maintain, and optimise enterprise database environments.
• Ensure high availability, performance tuning, backup, recovery, and disaster recovery planning.
• Implement database security controls and access management.
• Manage database upgrades, patching, and lifecycle maintenance activities.
• Troubleshoot and resolve database performance and integrity issues.
• Monitor database capacity planning and growth forecasting.
• Lead enterprise data quality improvement initiatives, including data cleansing, validation, remediation, and Master Data Management activities.
• Lead data migration workstreams, including discovery, profiling, mapping, transformation, validation, reconciliation, testing, cutover, and post-go-live stabilisation.
• Oversee migration into PLM, ERP, engineering repositories, manufacturing systems, business systems, and reporting and analytics platforms.
• Design and support integrations between ERP, PLM, CRM, Manufacturing, Quality, and reporting systems.
• Define data exchange standards and interface requirements.
• Support API, ETL, middleware, and data integration initiatives.
• Enable reliable reporting and analytics capabilities and maintain trusted data sources and reporting datasets.
• Work closely with Engineering, Operations, Supply Chain, Finance, Quality, Manufacturing, and IT teams.
• Serve as the primary data subject matter expert during business transformation projects.
• Provide guidance on data-related risks, dependencies, and opportunities.
• Demonstrate commitment to workplace health and safety, report hazards and incidents, and participate in required training.

Data Architect, DBA