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Description:
TechTorch is a high-growth enterprise technology consultancy that partners with leading private equity-backed businesses.
The company delivers AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.
TechTorch's mission is to redefine enterprise technology consulting for private equity, combining agility with the discipline demanded by sophisticated investors and operators.
The data and solution architecture teams lead complex enterprise transformations across cloud data platforms, analytics, and AI-enabled solutions.
The Senior Data / Solution Architect will own end-to-end data and AI solution design across modern cloud data platforms.
This role requires designing enterprise-grade data architectures that support analytics, operational reporting, and AI-driven use cases.
The position demands strong consulting experience, comfort operating in ambiguity, and the ability to translate business objectives into clear technical designs.
Requirements:
Candidates must have 8+ years of experience in Data Architecture, Solution Architecture, or Data Engineering roles.
A strong consulting background with experience delivering complex, client-facing initiatives is required.
Deep hands-on expertise in SQL and Python is essential.
Proven experience designing and delivering data pipelines and orchestration using tools like Airflow, ADF, or dbt is necessary.
Experience with distributed data processing, particularly with Spark, is required.
A strong track record in designing SOO / SOR / CDM architectures and dimensional data models is needed.
Candidates should have a solid understanding of lakehouse and data warehouse patterns.
Cloud implementation experience in Azure, AWS, or GCP at production scale is required.
Practical experience delivering AI-enabled solutions to production is necessary.
Candidates must be comfortable operating across multiple workstreams in fast-moving, ambiguous environments.
Clear communication skills to explain complex technical concepts to both technical and non-technical audiences are essential.
A strong ownership mindset with a bias toward execution is required.
Benefits:
The role offers a high-impact position on enterprise-scale data and AI transformation programs.
There is an opportunity to design modern, AI-enabled data platforms for private equity-backed clients.
Candidates will gain exposure to top-tier private equity and global enterprise environments.
The position allows for collaboration with senior engineers and architects across geographies.
A flexible, remote-first working model with strong autonomy is provided.