About the job
Full Stack Data Engineer
About TechTorch
TechTorch is an innovative and rapidly growing enterprise technology consultancy that collaborates with some of the world's most prestigious private equity-backed companies. We offer cutting-edge AI-powered solutions, accelerators, and data transformation initiatives designed to deliver significant value swiftly and effectively.
Our mission is to revolutionize enterprise technology consulting for private equity. We seamlessly blend the agility of a start-up with the precision and discipline needed by the most discerning investors and operators.
Founded by industry veterans, including former Bain consultants, CIOs, and technology leaders, TechTorch possesses extensive expertise in technology, transformation, and value creation. Our focus is on delivering impactful results that matter.
About the Team
At TechTorch, our teams are leading the charge in delivering enterprise technology and data transformation projects that enhance growth and operational performance for private equity-backed organizations.
We integrate profound knowledge in data engineering, analytics, and AI with a business-centric approach, crafting and delivering scalable, production-grade solutions that resonate with client goals and timelines.
Our global teams collaborate across AI, data, enterprise systems, and digital transformation disciplines to achieve measurable outcomes.
About the Role
We are seeking a Full Stack Data Engineer who possesses a strong foundation in data engineering combined with expertise in business intelligence and analytics.
In this role, you will be responsible for designing and constructing scalable data pipelines and architecture in Snowflake, while also managing the downstream analytics layer — creating dashboards, data models, and reporting solutions that empower executive decision-making.
You will oversee the entire data stack, from ingestion and transformation to modeling and visualization, ensuring that the data is reliable, efficient, and ready for business use.

