
Chief Financial Data Architect
2 days ago
Transforming Financial Data Architecture
This pivotal role in the Accounting & Finance Technology domain focuses on leveraging Snowflake, dbt, and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions.
As a Principal Engineer, you will partner closely with Finance and Accounting stakeholders to transform complex business requirements into robust financial systems that drive insights, compliance, and long-term growth.
Key Responsibilities
- Data Warehouse Solutions: Drive design and implementation of enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
- dbt Data Modeling: Lead adoption and best practices in dbt for financial data transformations, lineage, and governance.
- Financial Systems Expertise: Translate complex accounting and financial concepts (e.g., revenue recognition, reconciliations, and double-entry principles) into technical designs and data flows.
- Pipeline Development & Automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
- Data Integrity & Compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
- Leadership & Mentorship: Provide technical leadership, mentorship, and guidance across teams, raising the bar for engineering standards, code quality, and delivery practices.
Requirements
- Education: Bachelor's or Master's in Engineering, Information Technology, Computer Science, or related field.
- Experience: 12-15 years of professional experience in data engineering or data platform roles, with strong emphasis on financial data systems.
- Snowflake Expertise: 5+ years working with Snowflake (or equivalent MPP systems, with deep Snowflake exposure required).
- dbt Experience: 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.
Must Have Skills
- Snowflake
- SQL
- Data Engineering / Building Data Pipelines, dbt
Nice To Have
- Background in financial technology solutions aligned with double-entry accounting principles.
- Familiarity with predictive modeling or ML for financial forecasting is a plus.
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