EY Microsoft - Data & AI - Azure Data Platform Engineer, Senior Manager, Tech Consulting in New York, New York
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, Senior Manager, US (Azure)
EY delivers unparalleled tech consulting services in big data, business intelligence, digital, machine learning and Artificial Intelligence. We help clients understand, architect, select and implement leading-edge solutions to drive their business. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to deliver the highest level of execution and satisfaction for our clients. Our approach is focused on analyzing business needs and making sure that the solutions delivered meet our client’s goals.
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 data fabric landscape, including data lakes and data warehouse development. You will help our clients with designing and building data and analytics architectures to enable better business outcomes. You will work across client stakeholders to determine solution requirements and rationalize architecture decisions. During implementation, you will collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and present patterns, insights, and trends to decision-makers. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
Your key responsibilities
The Senior Manager focuses on architecting solutions and managing client engagement teams, working with a wide variety of clients to deliver tech consulting services, and managing business development activities on strategic and global priority accounts.
Skills and attributes for success
Understanding customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
Assessing the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery.
Translating business requirements to technical solutions leveraging strong business acumen.
Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.)
Collaborating with other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
Supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
Designing and building Modern Data Pipelines and Data Streams and build Data Service APIs.
Developing and maintaining data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
Working experience with Visual Studio, PowerShell Scripting, and ARM templates. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Strong team collaboration and experience working with remote teams.
Leading large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes.
Provides directional guidance and recommendations around data technology, data models, and data storage formats
Staying abreast of current business and industry trends relevant to the client's business
To qualify for the role you must have
Bachelor’s degree, or MS degree in Computer Science, Statistics or Applied Mathematics, Data Science, or Machine Learning. Ph. D. preferred
At least five years of professional consulting experience in big data, and data engineering
Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Blob Storage, Data Lake, etc.
Deep understanding of ETL, ELT, data ingestion/cleansing and engineering skills
Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform Cloud solutions required:
o SQL including OSS (postgres, MySQL etc), Azure SQL
o NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
o Big Data including SQL DW, Snowflake, Big Query, Redshift
o Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
o Data Governance, Data Catalog, Master Data Management
Big Data implementation - using Open Source and Non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Cosmos DB, Snowflake and Python.
Knowledge of Lambda and Kappa architecture patterns.
Knowledge of Master Data Management (MDM) and Data Quality tools and processes.
Ability to help customers engineer Azure Data Solutions based on current on-premise data centers.
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 quickly and positively adapt to change.
A valid driver’s license in the US; willingness and ability to travel to meet client needs.
Ideally, you’ll also have
Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Experience with machine learning and data science, including utilization of tools and capabilities like Azure Databricks, Azure ML and Cognitive Services, as well as programming languages like R and use of R Studio
MS Certification: Azure Data Engineer Associate
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 Science and Big Data 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.
What working at EY offers
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, a minimum of twenty-five 25 days of vacation plus 10 observed holidays, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
Opportunities to develop new skills and progress your career
A collaborative environment where everyone works together to create a better working world
Excellent training and development prospects, both through established programs and on-the-job training
As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark. Apply today.
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• 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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.
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