
Senior Financial Data Architect
7 hours ago
We are seeking a seasoned data engineer to join our team and drive innovation in financial data systems.
The successful candidate will have extensive experience in designing, building, and maintaining large-scale data platforms using Snowflake, dbt, and other relevant technologies.
Key responsibilities include architecting and leading the implementation of enterprise-grade data warehouse solutions in Snowflake, owning dbt data modeling, and providing technical leadership and mentorship to junior engineers.
This is a highly visible opportunity to shape next-generation financial data architecture and ensure accuracy, transparency, and scalability for our business.
Key Challenges:
- Design and implement scalable, reliable, and performant data warehouse solutions in Snowflake.
- Lead adoption and best practices in dbt for financial data transformations, lineage, and governance.
- Translate complex accounting and financial concepts into technical designs and data flows.
- Collaborate directly with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements.
- 12+ 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, with the 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.
- Data Engineer OR Data Engineering
- Snowflake
- SQL
- Data Pipelines OR ETL Pipelines OR ELT
- Financial Systems (Fundamental concepts)
- Background in financial technology solutions aligned with double-entry accounting principles.
- Familiarity with Snowflake utilities (e.g., Snowpipe, Streams, Tasks) and performance optimization techniques.
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