
Senior Financial Systems Developer
10 hours ago
As a principal data architect in the accounting and finance domain, you will play a pivotal role in shaping next-generation financial systems. You will partner closely with finance stakeholders to transform complex business requirements into robust financial solutions that drive insights, compliance, and long-term growth.
This is an opportunity to work on enterprise-grade data warehouse solutions, ensuring scalability, reliability, and performance for finance and accounting use cases. You will also lead adoption and best practices in dbt for financial data transformations, lineage, and governance.
Key Responsibilities:- Architect and lead data warehouse solutions: Drive design and implementation of enterprise-grade data warehouse solutions, ensuring scalability, reliability, and performance for finance and accounting use cases.
- Own 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 into technical designs and data flows.
- Business partnership: Collaborate directly with finance leaders to understand business drivers, risks, and reporting requirements; ensure technical solutions meet real-world business needs.
- Pipeline development and automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems.
- Data integrity and compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
- Leadership and mentorship: Provide technical leadership, mentorship, and guidance across teams, raising the bar for engineering standards, code quality, and delivery practices.
- Strategic influence: Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders.
- 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, 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 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.
- Snowflake,
- SQL,
- Data Engineering / Building Data Pipelines, dbt (preferred)
- 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.
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