Data Domain Architect Associate

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking. Our vision is to enhance the lives of our people and increase value to the firm by harnessing the power of our data and utilizing the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills for the future. Our overall product objectives include: 1) constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer and Community Banking in a consistent framework; 2) creating an ecosystem of dashboards, sourced from authoritative data sources, to replace all manual management reporting and to allow our employees to focus on generating actionable insights; 3) eliminating user tools, saving time, and increasing the ability to generate insights through data, dashboards, and developing new capabilities.

As a Data Domain Architect in CBB- field performance area , you will play a key role in bringing transformation in how we report and analyze Financial, Operational and Behavioral Data across Consumer Banking and Business Banking with in CCB. Your day to day responsibilities would include but not limited to discover, source, design and deliver the data domains into the Databricks powered Data Mart that brings together essential data categories to enable the Finance function to support their analytical and reporting needs. You will have to understand the need of Finance and make data discoverable and available for analytical and reporting needs.

Job Responsibilities

• Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support Field Performance Reporting and analytical needs.
• Develop detailed Data Requirement documentation that aligns with overall data strategies and models.
• Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes.
• Perform thorough integration and regression testing of data components, providing evidence to ensure compliance and control measures are in place.
• Proactively identify and resolve issues/challenges, highlighting potential risks to leadership.
• Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements and expectations.
• Serve as a subject matter expert in these areas, providing support and guidance to other team members as needed.

• Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field.
• Over 10 years of experience in financial solutions (techno-functional), data engineering, data science, or business intelligence within the financial services domain.
• Proven experience in building data models that accurately represent business requirements and ensure data integrity. Strong understanding of data governance principles, policies, and practices to maintain data quality, security, and compliance.
• Expertise in database queries, including SQL and NoSQL. Proficient in ETL techniques for data extraction, transformation, and loading.
• Solid understanding of data warehousing concepts and design principles. Experience in reporting development and testing, with the ability to interpret unstructured data and draw objective inferences.
• Deep industry or business domain knowledge relevant to the organization. Proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot.
• Awareness of technologies and frameworks for handling large data volumes (e.g., Hadoop, Spark, R, Unix/Linux, SAS) and familiarity with analytical tools.
• Demonstrated ability to think beyond raw data, understand the business context, and identify business opportunities within data.
• Strong written and oral communication skills, with the ability to effectively engage stakeholders across technology, data, and business functions.
• Capacity to identify and solve data-related challenges, anticipate future needs, and recognize trends. Ability to work under pressure and meet tight deadlines. Highly motivated and self-directed.
• Must be able to work physically in our Bangalore office 4 days a week, with the option to work remotely from home 1 day per week, as determined by direct management.