Senior Engineer

Lead Financial Data Architect

We're seeking an accomplished Lead Financial Data Architect to spearhead the design and implementation of cutting-edge financial data architecture.

This pivotal role demands a seasoned professional who can harness their technical expertise to drive strategic business objectives, collaborating closely with cross-functional stakeholders to transform complex business requirements into robust financial systems.

• Architect & Implement Enterprise-Grade Data Warehouse Solutions: Drive design and implementation of scalable, reliable, and high-performance data warehouse solutions in Snowflake, ensuring seamless integration with finance and accounting use cases.">
• Own dbt Data Modeling: Leverage your experience with dbt to lead adoption and best practices for financial data transformations, lineage, and governance.">
• Financial Systems Expertise: Translate intricate accounting and financial concepts (e.g., revenue recognition, reconciliations, and double-entry principles) into technical designs and data flows that meet real-world business needs.">
• Strategic Partnership: Collaborate directly with Finance and Accounting leaders to understand business drivers, risks, and reporting requirements; ensure technical solutions align with organizational goals.">
• Pipeline Development & Automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt, integrating data from multiple enterprise and financial systems to enhance operational efficiency.">
• Data Integrity & Compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls to maintain trust and transparency.">
• Technical Leadership & Mentorship: Provide guidance, mentorship, and leadership across teams, fostering a culture of excellence in engineering standards, code quality, and delivery practices.">
• Platform Strategy: Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders, driving informed decision-making.">

• 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 a 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.">

• Snowflake,">
• SQL,">
• Data Engineering / Building Data Pipelines, dbt (preferred)">

The ideal candidate will possess a unique blend of technical expertise, business acumen, and leadership skills to drive innovative solutions that propel our organization forward.