
Senior Financial Data Architect
3 days ago
The role of Financial Data Engineer plays a pivotal part in shaping next-generation financial data architecture.
As a seasoned professional, you will be responsible for designing and implementing enterprise-grade data warehouse solutions in Snowflake. You will ensure scalability, reliability, and performance for finance and accounting use cases through the effective utilization of modern data engineering practices.
This position requires expertise in dbt for financial data transformations, lineage, and governance. You will drive adoption and best practices in dbt to build robust ETL/ELT pipelines integrating data from multiple enterprise and financial systems.
- Key Responsibilities:
- Architect & Lead Snowflake Solutions: Drive design and implementation of scalable and reliable data warehouse solutions in Snowflake.
- 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 into technical designs and data flows.
- Pipeline Development & Automation: Build and optimize robust ETL/ELT pipelines using Snowflake and dbt.
- Data Integrity & Compliance: Ensure data accuracy, auditability, and compliance with financial reporting requirements and internal controls.
Required Skills and Qualifications
Qualifications:
- 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).
- 3+ years using dbt for data modeling, transformation, and governance in enterprise-scale environments.
- Strong SQL expertise.
- 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.
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