EY Digital Factory - Data Architect 

Luxembourg 

770043460

Digital Factory - Data Architect - Wealth Asset Management & Financial InstitutionsWe are looking for a new colleague who will be part of our dynamic and rapidly growing digital team. As a senior technical analyst, you will manage the development process throughout the lifecycle of a product and support the ongoing management of the requirements from business stakeholders. You will perform a variety of complex technical activities in a wide and often unpredictable range of contexts. Our digital team is driving a large portfolio of projects helping our different Service Lines in EY to apply digital transformation through technologies like software robotics, analytics, artificial intelligence, and conversational interfaces.
- Collaborate with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions.
- Create data models, database designs, and database schemas that enable data integration, data management, and efficient querying.
- Develop data management strategies, including data governance, data quality, data security, and data lifecycle management.
- Design and implement data integration and exchange processes, leveraging APIs, data feeds, and batch processing.
- Develop and maintain data dictionaries, data lineage documentation, and data mapping documents.
- Lead data architecture reviews and participate in code and design reviews to ensure adherence to data architecture standards and principles.
- Develop proof-of-concept prototypes, demonstrate new data technologies and solutions, and keep up-to-date with emerging trends in data management and analytics.- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in data architecture, data modeling, or database design, with a strong business profile in wealth asset management and financial institutions
- Solid understanding of data management concepts and principles, including data quality, data governance, data security, and data lifecycle management.
- Experience in designing and implementing data solutions in a high volume, mission-critical environment, with a focus on operational excellence and process automation.
- Experience working with modern data platforms such as Hadoop, Spark, Elasticsearch, and NoSQL databases.
- Strong knowledge of large-scale data warehousing concepts, techniques, and tools.
- Experience with data modeling tools such as Erwin, Embarcadero, or PowerDesigner.
- Experience with data integration and exchange technologies such as APIs, data feeds, and batch processing.
- Good knowledge of statistical analysis, data exploration, and data visualization tools such as R, Python, or Matlab.
- Experience with cloud-based data solutions such as Azure, AWS, or Google Cloud Platform.- Strong analytical and problem-solving skills, with attention to detail and accuracy.

What we offer

• You’ll work with brilliant and innovative professionals who are devoted to building a better working world.
• 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.