
Expert Financial Data Architect
7 days ago
Join a cutting-edge team and take on the challenge of leading data engineering initiatives in the financial sector.
The ideal candidate will have expertise in designing, implementing, and optimizing complex data pipelines that drive business insights and inform strategic decisions.
This role requires a strong background in Snowflake, SQL, and dbt, as well as experience working with financial systems and data governance frameworks.
- Key Responsibilities:
- Data Engineering: Develop and maintain scalable data warehouses and ETL/ELT pipelines using Snowflake and dbt.
- Financial Systems Integration: Integrate financial systems to support revenue recognition, reconciliations, and accounting processes.
- Collaboration: Work closely with finance and accounting teams to translate business requirements into technical designs and data solutions.
- Knowledge Sharing: Mentor junior engineers and share best practices for Snowflake and dbt usage within the team.
To succeed in this role, you should have:
- Bachelor's degree in computer science, engineering, 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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