
Lead Financial Data Architect
11 hours ago
We are seeking a seasoned Data Engineer to join our team and play a pivotal role in shaping next-generation financial data architecture.
This role leverages Snowflake, dbt, and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions.
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:
- Architect and lead Snowflake solutions for enterprise-grade data warehouse scalability, reliability, and performance.
- Own dbt data modeling for financial data transformations, lineage, and governance.
- Translate complex accounting and financial concepts into technical designs and data flows.
- Collaborate with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements.
- Build and optimize robust ETL/ELT pipelines using Snowflake and dbt.
- Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
- Provide technical leadership, mentorship, and guidance across teams.
Requirements
To be successful in this role, you should have:
- 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.
- Strong SQL expertise and ability to design efficient queries, stored procedures, and performance-tuned models.
- Experience partnering with Finance/Accounting teams to implement data solutions supporting financial reporting, reconciliations, and revenue accounting.
Must-Have Skills
The ideal candidate should have:
- Snowflake,
- SQL,
- Data Engineering / Building Data Pipelines, dbt (preferred)
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