IBM Big Data Architect in SINGAPORE, Singapore

The candidate should have experience in all phases of defining, designing, and implementing a mature big data environment to ensure architectural compliance in the development of projects whilst continuing to evolve the Architecture. Responsibilities will include:• Responsible for overall architecture activities during the life-cycle of a program• Supports the IBM Account team, in determining the skill sets and level of effort required to design and construct a particular program, project, and/or applications to meet the business requirements• Responsible for selecting the correct analytic architecture to fulfill the program or organizations data science, cognitive, and analytic/reporting requirements• Responsible for providing program-level big data architecture planning and design expertise on development projects. Based on business requirements determines the different types of data models needed for a given program or project such as the raw and normalized data models within a Big Data environment• Supports (or leads) in the development of ingestion and curation design of a project• Understands and evangelizes the Digital Cloud Reference Architecture and tiered Data Lake framework• Approves many of the program deliverables in order to ensure compliance with Architectural Standards in subsequent phases• This role includes pre-sales activities.• Participated in Big Data architecture and implementation projects and have developed an expertise around Big Data and Hadoop solutions present in the market.• Have a solid expertise of tiered Data Lake Architecture with specific skills related to open source (Apache) technologies.• Experience in Agile Methodology and Scrum CertificationRequirements for Big Data technological capabilities includes: • Language: Scala, Python, SQL/NoSQL• Big Data: Hadoop, Cloudera, Spark, Sqoop, Reddis, Kafka, Tableau etc.• Big Data ETL: Informatica, Talend..• Big Data data platforms: HDFS, Hive, HBase...• Machine Learning using Big Data on Cloudera platform• Have Big Data hands-on experience within the financial services industries

• Big Data technological capabilities• Language: Scala, Python, SQL/NoSQL• Big Data: Hadoop, Cloudera, Spark, Sqoop, Reddis, Kafka, Tableau etc.• Big Data ETL: Informatica, Talend..• Big Data data platforms: HDFS, Hive, HBase...• Machine Learning using Big Data on Cloudera platform• Have Big Data hands-on experience within the financial services industries,Nil

GPS-FSS

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