Snowflake Architect

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 and near real-time), data transformation and modelling, data security, governance, and access controls.
• Partner with global architecture teams to align with enterprise data strategy.
• Lead offshore teams in design, development, and deployment of Snowflake-based solutions. This includes the ability to drive the end-to-end delivery lifecycle (SDLC Phases): Requirements analysis, Design and build, Testing (SIT/UAT), and Release management.
• Oversee development of ELT pipelines (ADF / Databricks / similar), data marts for finance (GL, subledger, reporting), and ensure adherence to coding standards, performance optimization, and reusability.
• Oversee data pipelines and integrations from multiple source systems (e. g., GL, Treasury, Advisory, etc. ).
• Manage dependencies across upstream systems (databases, source apps) and downstream consumers (BI/reporting tools) and ensure 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 Snowflake experience.
• Should have prior experience with Snowflake Data Platform.
• Should have hands-on experience with ELT data pipelines (ADF / Databricks).
• Must have prior experience with the banking/finance services domain at the enterprise level.

Skills

ADF, Architect, Architecture, Databricks, ELT, ETL, Modeling, Modelling, Snowflake, data pipeline