Principal Software Engineer, Data

We believe in opportunities favoring the bold and thus, we help the best tech and non-tech talent find their dream jobs at renowned companies that leads to a transformative experience career wise. Principal Engineer, Software - Accounting Tech
The Principal Engineer within the Accounting & Finance Technology domain will play a pivotal role in shaping next-generation financial data architecture. 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 partner closely with Finance and Accounting stakeholders to transform complex business requirements into robust financial systems that drive insights, compliance, and long-term growth.

Architect & Lead Snowflake Solutions: 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: Lead adoption and best practices in dbt for financial data transformations, lineage, and governance.
Financial Systems Expertise: Translate complex accounting and financial concepts (e.g., revenue recognition, reconciliations, and double-entry principles) into technical designs and data flows.
Business Partnership: 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.
Data Integrity & Compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
Leadership & Mentorship: 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 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)

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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