
Highly Skilled Financial Data Architect
3 days ago
We are seeking an experienced Data Engineer to join our team.
About the Role:
- This position is a key contributor in building and scaling modern financial data platforms, developing and optimizing data warehouse solutions, and ensuring performance and scalability for finance and accounting workloads.
Key Responsibilities:
- Snowflake Data Engineering: Develop data warehouse solutions in Snowflake, focusing on performance and scalability for finance and accounting workloads.
- dbt Development: Build and maintain dbt models and transformations that enable clean, governed, and auditable financial data flows.
- Financial Systems Integration: Implement data pipelines that source from ERP and finance systems to support revenue recognition, reconciliations, and accounting processes.
- ETL/ELT Pipelines: Design, build, and maintain reliable data pipelines and workflows using Snowflake, dbt, and other tools.
- Collaboration: Work with Finance and Accounting partners to translate business requirements into technical designs and data solutions.
- Data Quality & Compliance: Ensure accuracy, consistency, and traceability of financial data to support audit and compliance requirements.
- Team Contribution: Collaborate in an agile engineering environment, participating in code reviews, sprint planning, and continuous improvement of engineering practices.
- Knowledge Sharing: Mentor junior engineers and share best practices for Snowflake and dbt usage within the team.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent work experience).
- 5-7 years of professional experience in data engineering or data platform roles, preferably with financial systems.
- 3+ years hands-on experience with Snowflake for data warehousing, performance tuning, and secure data sharing.
- 2+ years of dbt experience (building models, transformations, testing, and documentation).
- Strong SQL development skills with focus on efficiency and maintainability.
- Experience working with financial or accounting data, translating business requirements into data pipelines.
- Understanding of accounting concepts (e.g., revenue recognition, double-entry principles) and ability to partner with Finance/Accounting teams.
- Familiarity with CI/CD workflows (Git, GitHub, GitLab, or similar).
Must Have Skills:
- Snowflake,
- SQL,
- Data Engineering / Building Data Pipelines,
- dbt (preferred),
- Financial Systems
Nice To Have:
- Familiarity with Snowflake utilities (Snowpipes, Streams, Tasks).
- Experience with BI/reporting tools such as Power BI or Tableau.
- Exposure to data governance and compliance requirements in financial reporting.
- Experience with Python or other scripting languages for automation.
- Interest in financial forecasting, predictive analytics, or ML as applied to Finance.
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