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

Bidhannagar, kerala, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

19 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Architect, Big Data, Cloud Technologies, Data Management, Data Ingestion, Data Processing, Python, PySpark, Azure Machine Learning, Azure Cognitive Services, Azure OpenAI, ETL Methodologies, Data Governance, Client Management, Project Management, Solutioning

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS – Data and Analytics (D&A) – Manager – Azure Data Architect As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for Managers (Solution Architects) with strong technology and data understanding having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key responsibilities 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, you’ll 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 What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: 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 EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Responsibilities

Develop standardized practices for delivering new products and capabilities using Big Data and cloud technologies. Interact with senior client technology leaders to understand their business goals and propose technology solutions.