Snowflake Lead Data Engineer

K&K GLOBAL TALENT SOLUTIONS INC

San Antonio, TX, United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Training Data Artificial Intelligence Amazon Web Services Data Analysis Cyber Security Continuous Integration Data Validation Information Engineering Extract Transform Load (ETL) Data Masking Fraud Prevention and Detection Python (Programming Language)

+21 more

Machine Learning NumPy Performance Tuning Query Optimization Role-Based Access Control Azure Machine Learning SQL Databases Talend Data Processing Cloud Platform System Feature Engineering Data Ingestion Sql Optimization Snowflake Pandas Scikit Learn Data Analytics Qlikview Star Schema Machine Learning Operations Databricks

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 Snowpipes
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 / Snowpipe
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 Snowpark (Python)-based data processing

o Integration with external ML platforms (Databricks / SageMaker / 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

Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
Python: Data processing, automation, Snowpark (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

About the company

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.

This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.