EY - GDS Consulting - AI And DATA - Azure Data Architect- Manager

• Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies, including data acquisition, transformation, analysis, Modelling, Governance & Data management skills
• Interact with senior client technology leaders, understand their business goals, create, propose solution, estimate effort, build architectures, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using ADB, ADF, PySpark, Python, Snypase
• Develop data ingestion programs to ingest real-time data from LIVE sources using cloud services, Spark Streaming and related technologies
• Have managed team and have experience in end to end delivery
• Have experience of building technical capability and teams to deliver
• Good to have experience on IOT with real-time analytics.
• Prefered domain Energy, Oil & Gas
• AI/ML (Strong knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.

Skills and attributes for success

• Strong understanding & familiarity with all Cloud Ecosystem components
• Strong understanding of underlying Cloud Architectural concepts and distributed computing paradigms
• Experience in the development of large scale data processing.
• Hands-on programming experience in Microsoft Fabric, ADB, ADF, Synapse, Python, PySpark, SQL
• Hands-on expertise in cloud services like AWS, and/or Microsoft Azure eco system
• Solid understanding of ETL methodologies in a multi-tiered stack with Data Modelling & Data Governance
• Experience with BI, and data analytics databases
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Strong stakeholder, client, team, process & delivery management skills

To qualify for the role, you must have

• Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.
• Develop and present demonstrations, prototypes, and PoCs to showcase the value and capabilities of the proposed solutions.
• Create technical proposals, presentations, and respond to requests for proposals (RFPs) and information (RFIs).
• Lead the technical aspects of project delivery, ensuring that implementations align with the initial solution design.
• Define and implement best practices and agile methodologies for the delivery of scalable Cloud solutions.
• Provide expert guidance on data strategy, cloud architecture, and the technology stacks needed for data modernization, AI, and machine learning workloads.
• Data: Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, and Cosmos DB.
• AI/ML (knowledge): Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.
• Minimum 7 years hand-on experience in one or more of the above areas.
• Minimum 10 years industry experience

Ideally, youll also have

• Project management skills
• Client management skills
• Solutioning skills

What we look for

People with technical experience and enthusiasm to learn new things in this fast-moving environment