Snowflake Architect
Posted Updated
Description
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.