Snowflake Lead - Data Engineering
Role details
Job location
Tech stack
Job description
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK s enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
Snowflake Production Support
Perform root cause analysis for job failures and data analysis & fixes
Perform Month End Closing Activities
Snowflake Development & Architecture
Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snow pipes
Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
Oversee promotion of code across environments using CI/CD practices
Data Engineering & Integration
Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snow pipe
Ensure data quality checks, reconciliation, and schema drift handling
Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
Enable AI/ML use cases on Snowflake, including:
o Feature engineering datasets for ML models
o Snow park (Python)-based data processing
o Integration with external ML platforms (Databricks / Sage Maker / Azure ML where applicable)
Support AI driven insights such as:
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
Requirements
12+ years in Data Engineering / Analytics (Snowflake, Talend, DBT, Cortex AI, Python)
(8+ years hands on Snowflake development & production support)
(4+ years experience in P&C Insurance customers, managing month end closing activities)
(4+ years leading the team as technical lead)
Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL, Snowflake: Advanced SQL, Performance Tuning, Security, Snow pipe, Streams & Tasks
Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
Python: Data processing, automation, Snow park (preferred)
Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
Experience supporting ML models through data engineering and operationalization
Familiarity with Python ML libraries (scikit learn, pandas, NumPy) - applied from a data engineering perspective
Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
Insurance domain experience (P&C / Specialty Insurance strongly preferred)
Strong communication skills for onsite customer interaction
Ability to translate business requirements into scalable data & AI solutions
Role Descriptions: Good information and sound knowledge in Snowflake and Talend.
Essential Skills: Good information and sound knowledge in Snowflake and Talend.