
Senior Financial Data Architect
5 days ago
Leading the development of next-generation financial data architecture requires a talented and experienced professional. The ideal candidate will have a deep understanding of data engineering principles, experience with Snowflake and dbt, and a passion for delivering high-quality solutions.
This role involves partnering closely with Finance and Accounting stakeholders to transform complex business requirements into robust financial systems that drive insights, compliance, and long-term growth. The successful candidate will be responsible for designing and implementing enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
">Key Responsibilities:">- Architect and lead Snowflake solutions to drive design and implementation of enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
- Own dbt data modeling to 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; ensure technical solutions meet real-world business needs.
- 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.
- Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders.
- 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 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.
- 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.
- Background in financial technology solutions aligned with double-entry accounting principles.
- 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.
We are committed to fostering a culture of inclusion and diversity. We encourage all qualified candidates to apply. Please submit your application through our website.
">Thank you for your interest in this exciting opportunity
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