
Senior Data Architect
1 day ago
The principal engineer will play a pivotal role in shaping next-generation financial data architecture within the accounting & finance technology domain.
This role focuses on leveraging Snowflake, dbt, and modern data engineering practices to build scalable, trusted, and cost-optimized financial data solutions that drive insights, compliance, and long-term growth.
You will partner closely with finance and accounting stakeholders to transform complex business requirements into robust financial systems that meet real-world needs.
Key Responsibilities:- Architecting Data Solutions: Design and implement enterprise-grade data warehouse solutions in Snowflake to ensure scalability, reliability, and performance for finance and accounting use cases.
- dbt Data Modeling Lead: Own 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.
- Education: Bachelor's or Master's degree in Engineering, Information Technology, Computer Science, or related field.
- Professional Experience: 12-15 years of professional experience in data engineering or data platform roles, with strong emphasis on financial data systems.
- Snowflake Expertise: 5+ years working with Snowflake (or equivalent MPP systems), with deep Snowflake exposure required.
- dbt Adoption: 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.
- SQL Expertise: Strong SQL expertise, with ability to design efficient queries, stored procedures, and performance-tuned models.
- Finance & Accounting Partnership: Experience partnering with finance/accounting teams to implement data solutions supporting financial reporting, reconciliations, and revenue accounting.
- Business Acumen: Demonstrated business acumen with ability to map financial processes to technical solutions.
- Leadership Skills: Proven record of leading teams/projects, mentoring developers, and driving cross-functional delivery.
- Cross-Functional Collaboration: Experience with CI/CD, Git-based workflows, and DevOps practices.
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