Snowflake Lead Data Engineering

Tata Consultancy Services; New York (NY); On-site; USD 110,000 - 130,000; Full time

Job summary

CLEARBROOK is seeking a Snowflake Lead to own end-to-end Snowflake solution design, development leadership, and AI/advanced analytics enablement on AWS.

You will lead Snowflake schemas, security, and data pipelines, coordinate with offshore teams, and apply CI/CD practices while integrating AI/ML use cases.

Experience with insurance data, Talend ETL, and Python is required; salary range $110,000–$130,000 per year.

Qualifications

• Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL are required.
• Hands-on Snowflake data engineering and architecture experience.
• Experience enabling AI/ML use cases in Snowflake and integrating with external platforms.

Responsibilities

• Lead end-to-end Snowflake solution design and development leadership.
• Define and enforce best practices for performance, security, and CI/CD in Snowflake.
• Oversee data ingestion pipelines using Talend, Qlik Replicate, and Snowpipe.
• Guide AI/Analytics enablement: Snowpark (Python), feature engineering, ML model support.
• Coordinate with offshore teams and onsite customer stakeholders.

Skills

Python

SQL

AI/ML pipelines

AWS Cloud

Insurance domain knowledge

Education

Bachelor's degree in Computer Science

Tools

Snowflake

Talend ETL

Qlik Replicate

Snowpipe

Databricks

SageMaker

Azure ML

Job description

Job Description

Must Have Technical/Functional Skills

Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL

Roles & Responsibilities

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:
• Feature engineering datasets for ML models
• Snowpark (Python)–based data processing
• Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as:
• Claims triage & risk scoring
• Fraud detection inputs
• Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads

Core Technical Skills

• 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

Salary Range: $110,000 to $130,000 per year

Qualifications

BACHELOR OF COMPUTER SCIENCE