
Senior Data Platform Specialist
1 day ago
Talent500 is a renowned organization in the financial sector, seeking exceptional talent for a pivotal role within its modern financial data platform.
The Senior Engineer will be responsible for developing and scaling the platform using Snowflake, dbt, and integrating financial systems. This involves building data warehouse solutions in Snowflake to ensure performance and scalability for finance and accounting workloads.
As a Senior Engineer, you will collaborate closely with other engineers, analysts, and Finance partners to design, implement, and optimize data pipelines that power critical financial systems, reporting, and compliance needs.
This opportunity is ideal for a hands-on engineer who enjoys solving business problems through technical solutions.
Key Responsibilities:
- Snowflake Data Engineering: Develop optimized data warehouse solutions in Snowflake to meet finance and accounting demands.
- 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 directly 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.
Required Skills and Qualifications:
- 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 Skills:
- 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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