Job description

Summary: We are seeking an experienced professional with a strong background in Snowflake architecture to join our team. This role involves designing and managing scalable, secure, and high-performance data models for Finance Corporate Services. The position is based at any NTT Data location, with a hybrid remote work arrangement (2 days per week in the office). The shift timing is 02:00 PM IST to 11:00 PM IST. Responsibilities: • Own and evolve the Snowflake data platform architecture for Finance Corporate Services. • Design scalable, secure, and high-performance data models (dimensional, ELT/ETL patterns). • Define best practices for data ingestion (batch & near real-time), data transformation and modeling, data security, governance, and access controls. • Partner with global architecture teams to align with enterprise data strategy. • Lead offshore teams in the design, development, and deployment of Snowflake-based solutions, including driving the end-to-end delivery lifecycle (SDLC Phases): Requirements analysis, Design & build, Testing (SIT/UAT), Release management. • Oversee the development of ELT pipelines (ADF / Databricks / similar), data marts for Finance (GL, Subledger, Reporting) ensuring adherence to coding standards, performance optimization, and reusability. • Oversee data pipeline and integration from multiple source systems (e.g., GL, Treasury, Advisory, etc.). • Manage dependencies across upstream systems (databases, source apps), downstream consumers (BI / reporting tools) ensuring data reconciliation, completeness, and accuracy across systems. • Ensure adherence to data governance standards including audit and regulatory requirements, SDLC and change management processes, and implementing data lineage, controls, and reconciliation frameworks. Requirements: • Minimum 10 years of relevant experience in Snowflake. • Experience in the Banking/Finance Services domain at an enterprise level. Required Skills: • Prior experience with the Snowflake Data Platform. • Hands-on experience with ELT Data Pipeline - ADF / Databricks. Preferred Skills: Not specified. Benefits: Not specified.

Requirements

Must-haves

Own and evolve the Snowflake data platform architecture for Finance Corporate Services.
Design scalable, secure, and high-performance data models (dimensional, ELT/ETL patterns).
Define best practices for data ingestion (batch & near real-time), data transformation and modeling, data security, governance, and access controls.
Partner with global architecture teams to align with enterprise data strategy.
Oversee the development of ELT pipelines (ADF / Databricks / similar), data marts for Finance (GL, Subledger, Reporting) ensuring adherence to coding standards, performance optimization, and reusability.
Oversee data pipeline and integration from multiple source systems (e.g., GL, Treasury, Advisory, etc.).
Manage dependencies across upstream systems (databases, source apps), downstream consumers (BI / reporting tools) ensuring data reconciliation, completeness, and accuracy across systems.
Ensure adherence to data governance standards including audit and regulatory requirements, SDLC and change management processes, and implementing data lineage, controls, and reconciliation frameworks.
Minimum 10 years of relevant experience in Snowflake.
Experience in the Banking/Finance Services domain at an enterprise level.
Prior experience with the Snowflake Data Platform.
Hands-on experience with ELT Data Pipeline - ADF / Databricks.

Nice-to-haves

Not specified.

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: jobdiva
Effort: medium