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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Data Architect
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Data Architect

R Systems (singapore) Pte Limited

R Systems (singapore) Pte Limited company logo

Responsibilities:


  • Provide technical vision and create roadmaps to align with the long-term technology strategy
  • Create the target architecture for an application / set of applications with emphasis on platforms, reusability, scalability and security
  • Work with stakeholders to define capabilities and principles for an application
  • Work on governance aspects for the Data Analytics applications such as documentation, design reviews, metadata etc
  • Document design ideas in well-crafted presentations and engage with stakeholders for their concurrence
  • Review and help streamline the design for big data applications and ensure that the right tools are used for the relevant use cases
  • Engage users to achieve concurrence on technology provided solution.
  • Conduct review of solution documents along with Functional Business Analyst and Business Unit for sign-off
  • Create technical documents (functional/non-functional specification, design specification, training manual) for the solutions.
  • Review interface design specifications created by development team
  • Participate in selection of product/tools via RFP/POC.
  • Provide inputs to help with the detailed estimation of projects and change requests
  • Execute continuous service improvement and process improvement plans.


Skills


  • 10-15 years of experience with Data Architecture in the banking domain including implementation of Data Lake, Data Warehouse, Data Marts, Lake Houses etc
  • Experience in data modeling for large scale data warehouses, business marts on Hadoop based databases, Teradata, Oracle etc for a banking industry.
  • Expertise in Big Data Ecosystem such as Cloudera (Hive, Impala, Hbase, Ozone, Iceberg), Spark, Presto, Kafka
  • Experience in a Metadata tool such as IDMC, Axon, Watson Knowledge Catalog, Collibra etc
  • Expertise in designing frameworks using Java, Scala, Python and creation of applications, utilities using these tools
  • Expertise in operationalizing machine learning models including optimizing feature pipelines and deployment using batch/API, model monitoring, implementation of feedback loops
  • Knowledge of report/dashboards using a reporting tool such as Qliksense, PowerBI
  • Expertise in integrating applications with Devops tools
  • Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus
  • Domain knowledge of the banking industry include subject areas such as Customer, Products, CASA, Cards, Loans, Trade, Treasury, General Ledger, Origination, Channels, Limits, Collaterals, Campaigns etc
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