Join EY and help to build a better working world as a senior, client-facing Data Architect responsible for engaging C-suite stakeholders and leading the design of modern cloud-native data platforms.
Requirements
- Deep pre-sales expertise across cloud ecosystems: Azure, AWS, GCP.
- Hands-on experience with Azure Data Services – Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric, Snowflake/Databricks, Programming – Python, PySpark, SQL, Streaming – Kafka, Event Hubs, Spark Streaming, BI Tools – Power BI, Tableau.
- Comprehensive knowledge of Modern Data Platform and AI ready Data, Data modelling (Dimensional, Data Vault), Ontologies, Metadata management, data observability, and governance, Performance tuning, optimization, and distributed compute.
- Exceptional ability to bridge business and technology, advising executives on data strategy, modernization, and value creation.
- Strong communication, storytelling, and stakeholder management skills, Proven experience in leading large-scale enterprise data transformations, Familiarity with AI/ML platforms such as Azure Machine Learning, Cognitive Services, Azure OpenAI.
- Strong stakeholder management and ability to bridge business and technical teams, Exposure to data mesh principles and domain-oriented data product design, Familiarity with data fabric, data mesh and multi-cloud data strategies, Familiarity with real-time analytics.
Benefits
- Support, coaching and feedback from some of the most engaging colleagues around, Opportunities to develop new skills and progress your career, The freedom and flexibility to handle your role in a way that’s right for you