Description:

TechTorch is a high-growth enterprise technology consultancy that partners with leading private equity-backed businesses to deliver AI-powered solutions and data-driven transformation initiatives.
The AI Data Engineer will design and build modern data pipelines and AI-ready data platforms, primarily using Snowflake as the core warehouse.
The role involves leveraging Snowflake Cortex AI, AWS Bedrock, and other mainstream AI services to enable advanced analytics and AI-driven automation.
Responsibilities include ensuring data quality, modeling, and accessibility for downstream analytics, machine learning, and GenAI applications.
The position requires collaboration with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions.

Requirements:

Candidates must have 4+ years of experience in data engineering, with strong hands-on experience in Snowflake.
Practical experience in building AI-enabled data solutions or preparing data for machine learning and LLM workloads is required.
Strong proficiency in SQL and Python for data transformation and pipeline development is essential.
Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities is necessary.
Hands-on experience with AWS, including AWS Bedrock, Lambda, S3, and IAM, is required.
Familiarity with ELT tooling such as dbt, Airflow, or similar orchestration frameworks is important.
A solid understanding of data modeling, data warehousing, and performance optimization is needed.
Candidates should be comfortable working in cloud-native, enterprise environments with high delivery expectations.
Strong communication skills and the ability to collaborate across technical and business teams are essential.

The position offers the opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock.
It is a high-impact role at the intersection of data engineering and applied AI.
Employees will gain exposure to private equity-backed enterprise transformation programs.
The role is part of a global, collaborative team with strong technical standards.
A flexible, remote-first working environment is provided, allowing for autonomy and ownership.

Skills