
Snowflake Data Solutions Architect
1 week ago
Job Overview:
We are seeking a highly skilled Senior Data Engineering Lead to oversee the design, development, and optimization of scalable data pipelines, data models, and analytics solutions on Snowflake.
Key Responsibilities:
- Lead the implementation of best practices around performance tuning, cost optimization, and data governance in Snowflake data warehouses.
- Create scalable data models supporting BFSI use cases (e.g., regulatory reporting, fraud detection, risk analytics).
- Build, schedule, and monitor complex data pipelines using Matillion.
- Optimize ELT workflows for large-scale BFSI data volumes (transactional, customer, risk, and compliance datasets).
- Implement robust error handling, logging, and recovery mechanisms.
- Translate Banking data requirements into scalable Snowflake solutions.
- Collaborate with business stakeholders, data scientists, and reporting teams to deliver analytical datasets.
- Partner with cloud engineers to ensure secure, compliant cloud deployments.
- Support and mentor junior engineers on Snowflake and Matillion best practices.
Requirements:
- Minimum 8 years of experience with over 6 years hands-on experience with Snowflake.
- Advanced Matillion ETL development (or similar cloud-native ETL tools).
- Proficiency in SQL, Python, and cloud services (AWS/GCP/Azure).
- Experience with CI/CD pipelines, Git, DevOps integration for data workflows.
- Deep understanding of financial data models (customer 360, payments, credit/debit, claims, risk, fraud).
- Exposure to BFSI regulations & compliance in data handling and reporting.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
- Ability to lead data discussions with both business and technical teams.
Benefits:
This role offers opportunities for professional growth and collaboration with experienced professionals in the field.
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