Join EY's GDS Consulting team as an Azure Data Architect Manager and contribute to solving complex business challenges through data and technology. This role offers a unique opportunity to shape innovative data solutions for clients across various industries, including Banking, Insurance, Manufacturing, Healthcare, and Retail. You will be instrumental in extracting maximum value from data and identifying strategic opportunities.

We are seeking experienced Big Data Architects with a strong technological and data acumen, coupled with proven delivery capabilities. Become part of a leading global firm and a rapidly expanding Data and Analytics practice. Your expertise will drive exceptional client outcomes and contribute to building a better working world.

Develop and implement standardized methodologies for deploying new products and capabilities using Big Data and cloud technologies, encompassing data acquisition, transformation, analysis, modeling, governance, and management.

Engage with senior technology leaders at client organizations to understand their business objectives, formulate and propose solutions, estimate efforts, design robust architectures, and lead the development and delivery of technology solutions.

Establish and refine client-specific best practices for data management within cloud environments. Recommend optimal design alternatives for data ingestion, processing, and provisioning layers.

Create data ingestion programs for processing large datasets in batch mode using ADB, ADF, PySpark, Python, and Synapse. Develop real-time data ingestion programs utilizing Apache Kafka and Spark Streaming.

Lead teams and manage end-to-end project delivery. Cultivate technical capabilities within teams to ensure successful project execution.

Design and propose Azure-based data and AI solutions aligned with client objectives and business needs. Develop and present compelling demonstrations, prototypes, and Proofs of Concept (PoCs) to showcase solution value.

Generate technical proposals, presentations, and respond effectively to RFPs and RFIs. Lead the technical execution of projects, ensuring alignment with the established solution design.

Define and implement best practices and agile methodologies for delivering scalable cloud solutions. Provide expert guidance on data strategy, cloud architecture, and technology stacks essential for data modernization, AI, and machine learning initiatives.

Proficiency required in Azure services such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, and Cosmos DB. Knowledge of AI/ML services like Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI is beneficial.

Requires a minimum of 7 years of hands-on experience in the specified data and AI areas, with at least 10 years of overall industry experience. Strong understanding of cloud ecosystems, architectural concepts, and distributed computing paradigms is essential.