Join EY as a Manager - Data Architect in AI & DATA
At EY, you'll have the opportunity to build a career as unique as you are, supported by global scale, resources, an inclusive culture, and cutting-edge technology. We're eager to hear your unique voice and perspective to help us become even better. Join us to create an exceptional experience for yourself and a better working world for all.
Position: EY GDS - AI & DATA – Manager – Data Architect
As a part of our EY-GDS AI & DATA team, you will help clients tackle complex business challenges through the power of data and technology. We delve into data to extract maximum value and uncover opportunities in key sectors such as Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.
The Opportunity
We're seeking Managers with a robust understanding of technology and data, proven delivery capabilities, and client experience. This is a fantastic opportunity to be part of a leading firm and a growing AI & DATA team.
Responsibilities
- Collaborate with Analytics and AIML teams to develop and analyze features at scale. Provide SME-level guidance to team members to optimize workflows, streamline operationalization, and reduce time-to-market.
- Develop distributed applications on-premises and on Cloud that scale to serve ML models, analytics, rules, web applications, and visualizations for end-users.
- Monitor and deploy production models to ensure stable performance and compliance with standards.
- Create libraries to facilitate the development, monitoring, and control of data and models.
- Identify and recommend improvements to current designs and processes.
Required Skills
Primary Skills:
- 8-11 years of experience in designing, architecting, developing, and operationalizing Data Engineering and AI/ML models across Big Data Ecosystems (PySpark, Hadoop, Snowflake, Python).
- Proven experience in designing and implementing data-intensive applications for practical use-cases.
- Proficient in Java/C++.
- Experience working in a Linux environment, including writing shell scripts, troubleshooting business user issues, handling NFS shares, and resolving permission and space issues.
Desirable Skills
- Experience in the Financial Industry.
- Knowledge of Data Warehouse solutions (Teradata, Oracle, SQL Server, etc.).
- Familiarity with cloud platforms.
- Experience working within Kanban teams.
- Knowledge of CI/CD Pipelines and GitHub Actions.
Qualifications
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent job experience.
- 8+ years of experience in software development.
- 3+ years of experience in architecting distributed systems.
- 2+ years of experience in building ML applications.
About EY
At EY, we aim to build a better working world by creating long-term value for our clients, our people, and society, thus fostering trust in the capital markets.
With diverse teams in over 150 countries, enabled by data and technology, we provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, we ask better questions to find innovative solutions to the complex issues facing the world today.