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Technology Consulting - Data Architect

EY Company Limited (Ernst & Young)
Ey Company Limited (Ernst & Young) (Bangkok, Bangkok City, Thailand)
Bangkok, Thailand 🇹🇭
EY Company Limited (Ernst & Young)
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Detail posisi

EY Data competency has strong data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We are looking for a Solutions Architect in Thailand office. This role is offered on a full-time basis.

Kewajiban

As a Solutions Architect, you will liaise with clients to:
• Collate technical and functional requirements through workshops with senior stakeholders in risk, actuarial, pricing and product teams
• Translate business requirements to technical solutions leveraging strong business acumen
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms
• Develop solution proposals that provide details of project scope, approach, deliverables and project timeline
• Provide architectural expertise to sales, project and other analytics teams.
• Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions
• Provide solution oversight to delivery architects and teams

Kualifikasi

• 6-8 years of 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
• Ability to estimate complexity, effort and cost
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops
• Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
• Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP, or data vault
• Good fundamentals around security integration including Kerberos authentication, SAML and data security and privacy such as data masking and tokenisation techniques
• Good knowledge in DevOps engineering using Continuous Integration/ Delivery tools
• An in depth understanding of Cloud solutions (AWS, Azure and/or GCP) and experienced in integrating into traditional hosting/delivery models
• Experience in engaging with both technical and non-technical stakeholders
• Strong consulting experience and background, including engaging directly with clients
• Demonstrable Cloud experience with Azure, AWS or GCP
• Configuration and management of databases
• Experience with big data tools such as Hadoop, Spark, Kafka
• Experience with AWS and MS cloud services