
Technology Consulting – Data Architect
EY
full-time
Posted on:
Location Type: Office
Location: Bangkok • 🇹🇭 Thailand
Visit company websiteJob 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