
Master Data Strategist
20 hours ago
We are seeking a highly skilled and experienced Snowflake expert with hands-on expertise in Matillion ETL and in-depth knowledge of the Banking, Financial Services domain.
The ideal candidate will design, develop, and optimize scalable data pipelines, data models, and analytics solutions on Snowflake to meet regulatory and business needs.
Key Responsibilities:- Design and implement efficient Snowflake data warehouses, schemas, and data-sharing solutions.
- Define and implement best practices for performance tuning, cost optimization, and data governance.
- Create robust data models supporting BFSI use cases (e.g., regulatory reporting, fraud detection, risk analytics).
- Build, schedule, and monitor complex data pipelines using Matillion ETL.
- Optimize ELT workflows for large-scale BFSI data volumes (transactional, customer, risk, and compliance datasets).
- Implement reliable error handling, logging, and recovery mechanisms.
- Develop a deep understanding of Maia and its application in BFSI.
- Translate banking data requirements into scalable Snowflake solutions.
- Work with structured/unstructured data like core banking systems, payments, credit risk, AML/KYC, collections.
- Ensure compliance with BFSI regulations in data management.
- Collaborate with business stakeholders, data scientists, and reporting teams to deliver high-quality analytical datasets.
- Partner with cloud engineers to ensure secure and 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 (data modeling, performance tuning, secure data sharing, resource monitors, streams & tasks).
- Advanced Matillion ETL development skills.
- 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.
- Experience delivering analytics for fraud detection, credit risk scoring, AML/KYC.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
- Ability to lead data discussions with both business and technical teams.
Preferred Qualifications:
- Snowflake SnowPro Advanced Architect / Data Engineer certification.
- Experience with Tableau/Power BI for reporting layer integration.
- BFSI-specific project experience in core banking, digital payments, wealth management analytics.
- Familiarity with data security, masking, tokenization, and encryption in BFSI context.
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