Job description

**Overview:** Join EY's Technology Consulting team as an IT Advisor, Technology Consulting - AI & Data - Azure Data Platform Engineer (Manager) and help clients design and build data and analytics architectures to enable better business outcomes. This exciting opportunity is part of our global team of professionals who are dedicated to building a better working world. **Responsibilities:** • Help clients with designing and building data and analytics architectures to enable better business outcomes • Support the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments • Develop and maintain data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics • Collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources, present patterns and insights, and scale data for use in Machine Learning and Artificial Intelligence use cases • Collaborate with Cloud Solution Architects in implementing complex end-to-end Enterprise solutions on Microsoft Azure platform • Work with clients to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions • Manage and motivate teams with diverse skills and backgrounds • Consistently deliver quality client services by monitoring progress • Demonstrate in-depth technical capabilities and professional knowledge • Maintain long-term client relationships and networks • Cultivate business development opportunities • *Qualifications:** • Bachelor's degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate related work experience (or Master's degree in a related field and 4 years of related work experience) • 4 years of experience in data engineering and data architecture • 1 year of experience with analytics and big data technologies within Microsoft Azure with at least one of the following tools: Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics • 2 years of experience in two or more of the following: Data Ingestion and Storage, Technical experience using large data systems, Big Data Analytics, Data Governance, Data Catalog, and Master Data Management (MDM) • 2 years of experience with ELT (extract, loading, transform) and data ingestion/cleansing • 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback • Domestic travel up to 70% to serve client needs • *Benefits:** • Comprehensive compensation and benefits package • Base salary: $151,600.00 per year • Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options • Continuous learning opportunities • Success as defined by you: flexible vacation policy and time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence • Diverse and inclusive culture: embraced for who you are and empowered to use your voice to help others find theirs

Requirements