TechTorchAI 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
Our Values
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
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