IT Advisor - TC - AI and Data - Azure Data Platform Engineer - Manager - Multiple Positions -1594884

About the position

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. IT Advisor, Technology Consulting - AI & Data - Azure Data Platform Engineer (Manager) (Multiple Positions) (1594884), Ernst & Young U.S. LLP, San Diego, CA. 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 analyse structured/unstructured data from multiple internal and external sources, present patterns and insights, and scaling 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.

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 analyse 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.

Requirements

• Must have a 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 related work experience.
• Alternatively, will accept a Master's degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning, or a related field and 4 years of related work experience.
• Must have 3 years of experience in data engineering and data architecture.
• Must have 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.
• Must have 2 years of experience in two or more of the following: Data Ingestion and Storage using one or a combination of any of the following: Azure Data Factory, Azure Databricks, Azure SQL, SQL Server, Azure Data Lake, Azure Synapse Analytics, and/or Cosmos DB; Technical experience using large data systems on T-SQL and/or Python; Big Data Analytics in one or a combination of any of the following: Azure Synapse Analytics, Azure Analysis Services, and/or Snowflake; OR Data Governance, Data Catalog, and Master Data Management (MDM).
• Must have 2 years of experience with ELT (extract, loading, transform) and data ingestion/cleansing.
• Must have 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback.

Benefits

• Comprehensive compensation and benefits package.
• Base salary of $200,294.00 per year.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.