Senior Data Solutions Engineer

2 days ago

Tiruchi, Tamil Nadu, India beBeeData Full time ₹ 1,72,96,000 - ₹ 2,09,44,000
Snowflake Data Architect Job

This is a highly skilled data role requiring deep knowledge of Snowflake and data architecture.

Job Description:

  • We are seeking a talented data architect to design and implement scalable data pipelines, data models, and analytics solutions on Snowflake.
  • The successful candidate will have strong analytical and problem-solving skills, as well as excellent communication and stakeholder management.

Key Responsibilities:

  • Design and implement scalable data pipelines, data models, and analytics solutions on Snowflake.
  • Ensure compliance, security, and performance to meet regulatory and business needs.
  • 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.
  • Understand Maia and 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, 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 (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.
  • Ability to lead data discussions with both business and technical teams.

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