Leading Data Architect for Scalable Rating Pipelines

3 days ago

Pune, Maharashtra, India beBeeDataEngineering Full time ₹ 45 - ₹ 65
Job Title

A Technical Lead – Data Engineering position is available with expertise in Snowflake, SQL Server, and modern data architecture principles.

This role will play a critical part in the TurboRater RQR: CPQ Rating initiative, leading the design and implementation of scalable, secure, and high-performance data pipelines that power rating and CPQ capabilities.

Key Responsibilities
  • Lead end-to-end design and development of data pipelines supporting TurboRater RQR: CPQ Rating.
  • Architect and implement Medallion Architecture for structured and semi-structured data.
  • Drive adoption of Data Mesh principles, decentralizing ownership and promoting domain-oriented data products.
  • Collaborate with business/product teams to align CPQ Rating requirements with scalable technical solutions.
  • Ensure data quality, lineage, and governance across rating-related data assets.
  • Optimize workflows for rating performance, scalability, and cost-efficiency.
  • Mentor and guide engineers working on TurboRater initiatives.
  • Stay updated with data & insurtech innovations relevant to CPQ and rating platforms.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • 8+ years of experience in data engineering with at least 3 years in technical leadership.
  • Strong hands-on experience with Snowflake (data ingestion, transformation, performance tuning).
  • Proficiency in SQL Server and T-SQL.
  • Deep understanding of Medallion Architecture and Data Mesh principles.
  • Experience with data orchestration tools (Airflow, dbt), cloud platforms (Azure/AWS), and CI/CD pipelines.
  • Strong leadership and problem-solving skills.
  • Knowledge of Python or Scala for data processing.
  • Exposure to real-time data streaming (Kafka, Spark Streaming).

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