Junior Data Architect Manager AI & Data

Overview

At EY, we develop you with future-focused skills and world-class experiences. Join our diverse and inclusive culture with globally connected teams to shape the future with confidence.

The Opportunity

Be part of EY AI & Data in Asia-Pacific. Work on transforming data strategies, building end-to-end data platforms and advanced analytics systems. This role is based in our Singapore office and is a flexible full-time opportunity.

Your Key Responsibilities

• Design complex, scalable, and resilient data architecture platforms.
• Lead technical delivery for large data platform projects.
• Develop hybrid cloud data architectures and implementation roadmaps.
• Deploy projects on public clouds and secure environments.
• Translate business requirements into detailed design specifications.
• Collaborate with stakeholders and present technical findings.
• Stay updated with technical and industry developments including AI integrations.

Skills And Attributes For Success

• Hands-on experience with Databricks, Azure Synapse, Microsoft Fabric, Snowflake, Google Cloud and AWS.
• Experience with ELT, data pipelines, and orchestration tools.
• Expertise in data modeling and governance tools.
• Knowledge in programming languages such as Python, Spark, Scala.
• Experience in agile project delivery and technical estimation.

Qualifications

Bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics or related field. Minimum 8 years of experience in data platforms and analytics, including 2 years in design and architecture. GCC experience is an advantage. Ability to mentor junior team members is a plus.

What We Look For

A motivated, problem-solving team player with excellent communication skills, capable of thriving in a fast-changing industry.

What Working At EY Offers

• Competitive remuneration and performance rewards.
• Flexible work arrangements.
• Continuous learning and growth opportunities.
• Empowering and inclusive work culture.
• Transformative leadership and career development support.

Key skills/competency

Data architecture, AI, cloud, agile, Python, data pipelines, governance, analytics, hybrid cloud, mentoring.