EY - GDS Consulting - AI and DATA -MDM Architect- Manager - E

Overview

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

EY GDS – Data and Analytics (D&A) – Manager – Azure Data Architect

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for Managers (Big Data Architects) with strong technology and data understanding having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your Key Responsibilities

• Architecture & Solutioning
• Design and propose Azure-based data and AI solutions that align with customer objectives and solve business challenges.
• Architect and implement data platforms that support real-time, batch, and hybrid analytics.
• Recommend design alternatives for data ingestion, processing, and provisioning layers.
• Define and develop client-specific best practices around data management in cloud environments.
• Translate business problems into data models, analytics pipelines, and BI/ML solutions.
• Collaborate with cross-functional teams to ensure data security, scalability, and performance.
  
  

• Data Engineering & Development
• Develop standardized practices for delivering new products and capabilities using Big Data & cloud technologies.
• Design and develop data ingestion programs for large datasets in batch mode using ADB, ADF, Synapse, PySpark, and Python.
• Build real-time ingestion pipelines using Apache Kafka, Spark Streaming, and related technologies.
• Lead the development of data Lakehouse architectures, streaming pipelines, and data integration frameworks.
  
  

• Governance, Quality & Patterns
• Define and implement data governance, lineage, and quality frameworks.
• Guide teams on various modern data design patterns, e.g.:
• ETL/ELT
• Lambda/Kappa Architecture
• Data Vault & Dimensional Modelling
• Streaming Data Pipelines
• CQRS
• Change Data Capture (CDC)
• Schema Evolution
• Immutable Data
• Polyglot Persistence

• Leadership & Client Engagement
• Interact with senior client technology leaders to understand business goals and propose solutions.
• Lead technical delivery, including effort estimation, solution design, and team management.
• Develop and present PoCs, demos, and technical proposals to stakeholders and clients.
• Build and mentor technical teams and contribute to capability development.
  

• Strong understanding of cloud ecosystems (Azure, AWS) and distributed computing paradigms.
• Hands-on experience with:
• Azure Data Services: Synapse, ADF, ADB, Azure SQL, Data Lake, Microsoft Fabric
• Programming: Python, PySpark, SQL
• Streaming: Kafka, Event Hubs, Spark Streaming
• BI Tools: Power BI, Tableau
• Comprehensive applied knowledge of:
• Data modelling (dimensional, vault)
• Data governance, metadata management, and data observability
• Performance tuning
• Strong stakeholder management and ability to bridge business and technical teams.
• Exposure to AI/ML platforms: Azure Machine Learning, Cognitive Services, Azure OpenAI.
  
  

• Minimum 10 years of industry experience, with 7+ years in data architecture and analytics.
• Proven experience in enterprise-grade solution implementations.
• Strong understanding and hands-on experience in data strategy, cloud-native architectures, and analytics modernization.
• Experience in responding to RFPs/RFIs, creating technical documentation, and leading solution design workshops.
  
  

• Project and client management skills.
• Experience in solutioning and pre-sales engagements.
• Exposure to data mesh principles and domain-oriented data product design.
• Familiarity with data fabric architectures and multi-cloud data strategies.
• Familiarity with real-time analytics
• Experience with feature stores and ML model operationalization.
  
  

• People with technical experience and enthusiasm to learn new things in this fast-moving environment
  
  

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you
  
  

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.