
Chief Data Architect
2 weeks ago
We are seeking an experienced Data Engineer to join our team. As a Principal Engineer in the Accounting & Finance Technology domain, you 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.
Key Responsibilities:- Architect and 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; 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 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.
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