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1 day ago
As a senior data architect, you will play a pivotal role in designing and implementing next-generation financial data systems.
This role focuses on leveraging Snowflake and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions. You will partner closely with finance teams to transform complex business requirements into robust financial systems that drive insights, compliance, and long-term growth.
About the Role- Architect and lead Snowflake solutions to design and implement enterprise-grade data warehouse solutions, ensuring scalability, reliability, and performance for finance use cases.
- Own dbt data modeling to lead adoption and best practices for financial data transformations, lineage, and governance.
- Translate complex accounting and financial concepts into technical designs and data flows.
- Collaborate with finance leaders to understand business drivers, risks, and reporting requirements.
- Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise systems.
- Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
- Bachelor's or Master's degree in Engineering, Information Technology, Computer Science, or related field.
- 12-15 years of professional experience in data engineering or data platform roles, with strong emphasis on financial data systems.
- 5+ years working with Snowflake (or equivalent MPP systems) with deep Snowflake exposure required.
- 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.
- Strong SQL expertise and ability to design efficient queries, stored procedures, and performance-tuned models.
- Experience partnering with finance teams to implement data solutions supporting financial reporting, reconciliations, and revenue accounting.
- Demonstrated business acumen and ability to map financial processes to technical solutions.
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