AI Data Engineer - Cortex AI

About TechTorch

TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.

Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators.

TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter.

About the Team

TechTorch data and AI teams design and build modern data platforms that power analytics, AI agents, and GenAI-enabled business workflows. We work across Snowflake, AWS, and enterprise systems to enable scalable data products, AI-driven insights, and automation for private equity-backed organizations.

Teams operate globally and collaborate across data engineering, analytics, AI, and delivery disciplines to deliver high-impact, production-grade solutions.

About the Role

As an AI Data Engineer, you will design and build modern data pipelines and AI-ready data platforms with Snowflake as the core warehouse, leveraging Snowflake Cortex AI, AWS Bedrock, and other mainstream AI services. Your work will enable advanced analytics, LLM-powered use cases, and AI-driven automation across enterprise environments.

This role sits at the intersection of data engineering and applied AI. You will ensure data is high-quality, well-modeled, and accessible for downstream analytics, machine learning, and GenAI applications.

What You’ll Do

• Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
• Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
• Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
• Integrate and operationalize AI workflows using AWS Bedrock and related AWS services (e.g., Lambda, Step Functions)
• Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
• Integrate data from diverse sources including APIs, SaaS platforms, databases, and event streams
• Ensure data quality, observability, and governance across pipelines and AI workloads
• Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
• Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability

Who You Are

• 4+ years of experience in data engineering, with strong hands-on Snowflake experience
• Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads
• Strong proficiency in SQL and Python for data transformation and pipeline development
• Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities
• Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM
• Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks
• Solid understanding of data modeling, data warehousing, and performance optimization
• Comfortable working in cloud-native, enterprise environments with high delivery expectations
• Strong communication skills and ability to collaborate across technical and business teams

Nice to Have

• Experience with vector databases or embedding workflows (e.g., Snowflake, OpenSearch, Pinecone)
• Familiarity with LLM orchestration frameworks (e.g., LangChain, Bedrock Agents)
• Experience supporting AI agents, RAG pipelines, or GenAI analytics use cases
• Exposure to regulated or security-conscious environments