
Senior Financial Data Architect
1 day ago
We are seeking a seasoned data engineering leader to join our team. This is a pivotal role in shaping the next-generation financial data architecture.
The ideal candidate will have deep expertise in Snowflake, dbt, and modern data engineering practices. They 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.
This role is focused on leveraging Snowflake, dbt, and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions.
You will own design and implementation of enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
Key Responsibilities:
- Drive adoption and best practices in dbt for financial data transformations, lineage, and governance.
- Translate complex accounting and financial concepts (e.g., revenue recognition, reconciliations, and double-entry principles) into technical designs and data flows.
- Collaborate directly with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements; Pipeline Development & Automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
- Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
- Provide technical leadership, mentorship, and guidance across teams, raising the bar for engineering standards, code quality, and delivery practices.
Requirements:
- Bachelor's or Master's 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, with 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.
- ~ Demonstrated business acumen with ability to map financial processes to technical solutions.
- ~ Proven record of leading teams/projects, mentoring developers, and driving cross-functional delivery.
- ~ Experience with CI/CD, Git-based workflows, and DevOps practices.
Preferred Qualifications:
- Familiarity with Snowflake utilities (e.g., Snowpipe, Streams, Tasks) and performance optimization techniques.
- Exposure to BI tools like Power BI or Tableau for financial reporting and visualization.
- Knowledge of data governance frameworks and audit/compliance considerations in financial systems.
- Familiarity with predictive modeling or ML for financial forecasting is a plus.
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