EY GDS Consulting AI and DATA Cloud architect- Manager

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

Were 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.

Skills and Attributes for Success

• 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.

To Qualify for the Role You Must Have

• 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.

Ideally Youll Also Have

• 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.

What we look for

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

What working at EY offers

At EY were dedicated to helping our clients from startups 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 thats right for you