
Transformative Financial Data Architect
2 days ago
In this role, you will be responsible for designing and implementing scalable cloud-based data architectures that meet the needs of our finance and accounting teams.
- Architectural Design: Develop and implement robust data warehouse solutions in Snowflake to ensure scalability, reliability, and performance for finance and accounting use cases.
- dbt Data Modeling: Lead the adoption and best practices in dbt for financial data transformations, lineage, and governance.
- Financial Systems Expertise: Translate complex accounting and financial concepts 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.
The ideal candidate has 12-15 years of professional experience in data engineering or data platform roles, with a strong emphasis on financial data systems. They should possess expertise in cloud-based data architecture, data modeling, and pipeline development.
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Highly Skilled Financial Data Architect
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