Data Solutions Architect

1 day ago

Davangere, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Senior Snowflake Consultant

Job Position: Data Architect

We are seeking an experienced Snowflake professional to lead the design, development and optimization of scalable data pipelines, data models and analytics solutions.

The ideal candidate will design, develop and optimize large-scale data warehouses, schemas and data-sharing solutions on Snowflake.

Key Responsibilities:

  • Design 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.
  • Work with structured/unstructured data like core banking systems, payments, credit risk, AML/KYC, collections.
  • Ensure regulatory compliance in data management.
  • Partner with business stakeholders, data scientists and reporting teams to deliver analytical datasets.
  • Collaborate 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.
  • Advanced Matillion ETL development.
  • Proficiency in SQL, Python and cloud services.
  • Experience with CI/CD pipelines, Git, DevOps integration for data workflows.
  • Deep understanding of financial data models.
  • 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.

This is a challenging role that requires expertise in Snowflake, data engineering, and team leadership. The successful candidate will have a deep understanding of financial data models, BFSI regulations, and data governance.

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