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