Data Solutions Architect

1 day ago

Kota, Rajasthan, India beBeeSnowflake Full time ₹ 18,71,250 - ₹ 25,15,000
Snowflake Data Architect Job Description

We are seeking a highly skilled Snowflake expert to design, develop, and optimize scalable data pipelines, data models, and analytics solutions on Snowflake. The ideal candidate will have hands-on experience in Matillion ETL and proven expertise in the Banking, Financial Services domain.

  • Design, implement, and optimize Snowflake data warehouses, schemas, and data-sharing solutions.
  • Define and implement best practices around performance tuning, cost optimization, and data governance.
  • 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.
Required Skills and Qualifications
  • 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.
  • Experience delivering analytics for fraud detection, credit risk scoring, AML/KYC.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
Benefits
  • 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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