Microsoft - Data & AI - Azure Data Platform Engineer - Manager - Open Location

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Tech Consulting, Data Platform Engineer, Manager, US (Azure) 

EY delivers unparalleled tech consulting services in data strategy, big data engineering, business intelligence, digital, machine learning and Artificial Intelligence. Our clients around the world need your skills with data. We have a reputation of delivering digital initiatives and big ideas with the ambitions to keep doing more. Data is at the forefront of it all. Come help define the future by creating and implementing solutions in the Microsoft ecosystem.

The opportunity 

EY is investing significantly in the build out of Data and AI services that leverage Microsoft Azure. This is a rapidly growing area, and you will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform and enterprise data fabric landscape, that support data science, business intelligence, artificial intelligence, and cloud applications at scale. You will help our clients with designing and building data and analytics architectures to enable better business outcomes. During implementation, you will collect, aggregate, and analyse structured/unstructured data from multiple internal and external sources, present patterns and insights, and scaling data for use in ML and AI use cases. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

The Manager Data Engineer (Azure) focuses on implementing solutions and working in client engagement teams to deliver tech consulting services.

Skills and attributes for success

• Collaborating with Cloud Solution Architects in implementing complex end-to-end Enterprise solutions on Microsoft Azure platform.
• Supporting the strategy, planning, and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments.
• Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
• Excitement to work with customers to understand their overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
• Assessing the Customers' knowledge of Azure Data Platform and overall cloud data readiness to support customers through a structured learning plan and ensure its delivery. 

To qualify for the role, you must have

• Currently has or is in the process of obtaining their BA/BS or MS degree in Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum of 5-8+ years of relevant professional consulting experience in technology or similar roles.
• Some understanding of ETL, ELT, data ingestion/cleansing and engineering skills
• Some exposure and knowledge, in two or more of the following
• Data Ingestion and Storage. Preferably in Azure Data Factory, Azure Databricks, Azure SQL, SQL Server Azure Data Lake, Cosmos DB
• Some Engineering experience and or project course work using large data systems on T-SQL, and/or Python
• Big Data Analytics. Preferably in Azure Synapse Analytics, Azure Analysis Services, and Snowflake
• Data Governance, Data Catalog, Master Data Management
• PowerBI experience is a plus
• Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.
• Independent and able to manage and prioritize workload.
• Ability to adapt quickly and positively to change.
• A valid driver's license in the US; willingness and ability to travel to meet client needs.

Ideally, you'll also have

• Familiarity with DevOps, CI/CD, Agile and/or Scrum methods of delivery
• MS Certifications: Azure Data Engineer Associate, Azure Fundamentals

What we look for

We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data and AI industry. We want a customer-focused professional who is motivated to drive the creation of great enterprise products and who can collaborate and partner with other product teams, and engineers. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.