Data Analyst/Architect
Employment Info
JOB DETAILS
Requirements
- Extensive experience in Data Architecture, Solution Architecture, Data Engineering or Enterprise Data Platform roles.
- Proven experience designing and delivering large-scale cloud-based data platforms, ideally within Azure environments.
- Deep expertise in enterprise data architecture, distributed data systems and modern integration approaches.
- Strong understanding of data modelling, ETL/ELT frameworks, data ingestion and large-scale data processing.
- Experience designing solutions that support advanced analytics, machine learning and AI-driven initiatives.
- Knowledge of event-driven architectures, microservices and API-led integration patterns.
- Demonstrated capability in cloud governance, security architecture, data privacy and compliance frameworks.
- Experience implementing DataOps practices, CI/CD pipelines and automated deployment frameworks.
- Strong strategic thinking and the ability to translate business requirements into enterprise architecture solutions.
- Exceptional stakeholder engagement and communication skills, with the ability to influence senior leaders across global and matrixed organisations.
- Experience building enterprise-wide architecture roadmaps and driving technology transformation initiatives.
Responsibilities
- Define and maintain enterprise data architecture frameworks, standards and reference models that support global business objectives.
- Lead the design of scalable, resilient and high-performing data platforms capable of supporting batch, real-time and streaming workloads.
- Develop modern data architectures, integration patterns and solution blueprints that promote consistency, reusability and operational excellence.
- Contribute to the organisation’s global Data and AI strategy, ensuring platforms are prepared to support current and future AI capabilities.
- Establish and govern enterprise data models across conceptual, logical and physical layers.
- Oversee integration architectures across key enterprise platforms including Microsoft Dataverse, Azure SQL, SQL Server, Oracle, Microsoft 365 and external systems.
- Drive best practice DataOps, CI/CD and Infrastructure-as-Code approaches to support efficient delivery and operational performance.
- Establish robust governance, security and compliance frameworks, ensuring adherence to regional and global regulatory requirements.
- Partner with business and technology leaders to translate strategic goals and requirements into practical architecture roadmaps and solution designs.
- Provide technical leadership through architecture reviews, governance forums, technology evaluations and strategic investment recommendations.
- Identify emerging technologies and innovative opportunities to enhance data maturity, analytics capability and business outcomes.
Desired Qualifications
- Microsoft Azure Solutions Architect Expert certification.
- Microsoft Azure Data Engineer Associate certification.
- Databricks Certified Professional certification.
- AI and Machine Learning certifications.
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