Responsibilities:
Provide technical vision and create roadmaps to align with the long-term technology strategy
Create the target architecture f..
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
