Technology Consulting - Data Architect, AI & Data

at  EY

EY AI & Data, is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. You will shape, change, and deliver a data management roadmap to improve and enhance the value and re-usability of data, through modern and evolving data management practices and frameworks.
As our Data Architect you’ll play a key role in driving solution architecture design, evaluation and selection, buy vs. build decisions, and early-phase project estimates which contribute to the business case. You will partner with key roles (eg. project managers, business analysts, etc) to create solutions that are aligned to architecture standards and principles, leverage common solutions and services, and meet the financial targets (costs and benefits).

SKILLS AND ATTRIBUTES FOR SUCCESS

• Strong teaming and communications
• Strong drive to excel professionally, and to guide and motivate others
• Strong analytical and problem-solving skills
• Dedicated, resourceful and able to work under pressure

WHAT WE LOOK FOR

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities, and are committed to seeking out new ways to make a difference, this role is for you.

YOUR KEY RESPONSIBILITIES

• Strong cloud architecture expertise (Azure, AWS, GCP) across large project with 2-3 years min. experience in doing cloud projects
• Strong solution implementation experience (platform engineering, developer experience)
• Experience in requirements gathering and documentation
• Strong ability to effectively engage and collaborate with a range of stakeholders
• Demonstrated experience leading teams

TO QUALIFY FOR THE ROLE, YOU MUST HAVE

• Demonstrated experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies. Strong knowledge of data architecture patterns e.g. Kappa, Lambda architectures, etc.
• Product knowledge across different data products such as Databricks, Snowflake, Talend, Denodo, Immuta
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, dimensional data modelling and a variety of data models including data vault