IT Advisor, Technology Consulting - AI & Data - Azure Data Platform Engineer (Manager) (Multiple Positions) (1564720), Ernst & Young U.S. LLP, Dallas, TX.

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.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM 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 progressive, post-baccalaureate 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. Experience may be gained as part of the Master's education, including co-op and/or internship 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.

Requires domestic travel up to 70% to serve client needs.

Employer will accept any suitable combination of education, training or experience.

Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1564720).

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.