
Senior Data Engineer
2 days ago
Job Summary:
Financial Data ArchitectWe are seeking a highly skilled Financial Data Architect to design and implement enterprise-grade data warehouse solutions in Snowflake, ensuring scalability, reliability, and performance for finance and accounting use cases.
This role will play a pivotal part in shaping next-generation financial data architecture using Snowflake and dbt. You will partner 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 & Lead Data Solutions: Drive design and implementation of data warehousing solutions in Snowflake, ensuring scalable, reliable, and high-performance data systems 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 (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 & 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.
- Strategic Influence: Clearly communicate platform strategy, trade-offs, and recommendations to senior technical and non-technical stakeholders.
Requirements:
- 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/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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