EY

Technology Consulting – Data Architect

EY

full-time

Posted on:

Location Type: Office

Location: Bangkok • 🇹🇭 Thailand

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Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSAzureCloudGoogle Cloud PlatformKafkaOpen SourceScalaSparkSQLVault

About the role

  • 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

Requirements

  • 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
Benefits
  • Support, coaching and feedback from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Big Datadata warehousedata analyticsdata manipulation languagesSparkScalaImpalaHive SQLApache NifiKafka
Soft skills
business acumencommunication skillsleadershipworkshop facilitationanalytical skillsproblem-solvingclient engagementpresentation skills