
Expert Data Architect
2 weeks ago
Job Summary :
We are seeking an experienced Data Engineering Leader to join our team. The successful candidate will lead the design and implementation of scalable, secure, and high-performance data pipelines that power rating and CPQ (Configure, Price, Quote) capabilities.
About This Role :
This is a critical role in the TurboRater RQR : CPQ Rating initiative. The ideal candidate will combine deep technical expertise with insurance domain knowledge to drive innovation and deliver business impact.
Main Responsibilities :
- Lead end-to-end design and development of data pipelines supporting TurboRater RQR : CPQ Rating
- Architect and implement Medallion Architecture (Bronze, Silver, Gold layers) 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
Requirements :
- Bachelors or Masters 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
Good To Have Skills :
- CPQ Rating / TurboRater exposure preferred
- Prompt Engineering
- Kafka
- Spark Streaming
- AWS
- dbt
Why Join Us? :
We empower insurers and brokers to drive profitable growth and thrive in todays escalating risk landscape. We bring together transformative, ecosystem-wide capabilities to amplify impact across data, processes, people, and customer experiences.
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