AI Data Engineer - Cortex AI

About TechTorch

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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

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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

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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

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• 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

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• 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

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• 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

Our Values

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Client First — We focus relentlessly on delivering outcomes that create value for our clients

We, Not Me — We win together. Collaboration drives transformation at scale

Get Stuff Done — We execute with speed and precision — because in PE, time matters

AI First — We embed AI at the core, enabling scalable, high-leverage solutions

Own It — We take accountability for results, delivering on what we promise

Agile Mindset — We adapt quickly and proactively seek better ways to move forward

What We Offer

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• Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock
• High-impact role at the intersection of data engineering and applied AI
• Exposure to private equity-backed enterprise transformation programs
• Global, collaborative team with strong technical standards
• Flexible, remote-first working environment with autonomy and ownership