Data Warehouse Architect- Technology Group

Essential Services: Role & Location fungibility

The role descriptions give you an overview of the responsibilities; it is only directional and guiding in nature. At ICICI Bank, we believe in serving our customers beyond our role definition, product boundaries, and domain limitations through our philosophy of customer 360-degree. In essence, this captures our belief in serving the entire banking needs of our customers as One Bank, One Team. To achieve this, employees at ICICI Bank are expected to be role and location-fungible with the understanding that Banking is an essential service.

About the Role:

As a Data Warehouse Architect, you will be responsible for managing and enhancing data warehouse that manages large volume of customer-life cycle data flowing in from various applications within guardrails of risk and compliance. You will be managing the day-to-day operations of data warehouse i.e. Vertica. In this role responsibility, you will manage a team of data warehouse engineers to develop data modelling, designing ETL data pipeline, issue management, upgrades, performance fine-tuning, migration, governance and security framework of the data warehouse. This role enables the Bank to maintain huge data sets in a structured manner that is amenable for data intelligence. The data warehouse supports numerous information systems used by various business groups to derive insights.

As a natural progression, the data warehouses will be gradually migrated to Data Lake enabling better analytical advantage. The role holder will also be responsible for guiding the team towards this migration.

Key Responsibilities:

• Data Pipeline Design: Responsible for designing and developing ETL data pipelines that can help in organising large volumes of data. Use of data warehousing technologies to ensure that the data warehouse is efficient, scalable, and secure.
• Issue Management: Responsible for ensuring that the data warehouse is running smoothly. Monitor system performance, diagnose and troubleshoot issues, and make necessary changes to optimize system performance.
• Collaboration: Collaborate with cross-functional teams to implement upgrades, migrations and continuous improvements.
• Data Integration and Processing: Responsible for processing, cleaning, and integrating large data sets from various sources to ensure that the data is accurate, complete, and consistent.
• Data Modelling: Responsible for designing and implementing data modelling solutions to ensure that the organization's data is properly structured and organized for analysis.

Key Qualifications & Skills:

• Education Qualification: B.E./B. Tech. in Computer Science, Information Technology or equivalent domain with 10 to 12 years of experience and at least 5 years or relevant work experience in Datawarehouse/mining/BI/MIS.
• Experience in Data Warehousing: Knowledge on ETL and data technologies and outline future vision in OLTP, OLAP (Oracle / MSSQL). Data Modelling, Data Analysis and Visualization experience (Analytical tools experience like Power BI / SAS / ClickView / Tableu etc). Good to have exposure to Azure Cloud Data platform services like COSMOS, Azure Data Lake, Azure Synapse, and Azure Data factory.
• Synergize with the Team: Regular interaction with business/product/functional teams to create mobility solutions.
• Certification: Azure certified DP 900, PL 300, DP 203 or any other Data platform/Data Analyst certifications.