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about 1 month ago
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About TechTorchTechTorch 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 technology 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 TeamTechTorch data and solution architecture teams lead complex enterprise transformations across cloud data platforms, analytics, and AI-enabled solutions. We work closely with delivery teams, engineers, and client stakeholders to design scalable, governed, and future-ready data platforms — often in high-impact, regulated, and transformation-heavy environments.Our teams operate globally and collaborate across cloud infrastructure, data engineering, analytics, and AI/ML workstreams to deliver end-to-end outcomes for private equity–backed clients.About the RoleWe are seeking a Senior Data / Solution Architect to own end-to-end data and AI solution design across modern cloud data platforms. This role sits at the intersection of data architecture, data engineering, and AI enablement.You will design enterprise-grade data architectures that support analytics, operational reporting, and AI-driven use cases — balancing near-term delivery needs with long-term platform evolution. The role requires strong consulting experience, comfort operating in ambiguity, and the ability to translate business objectives into clear, executable technical designs.What You’ll DoOwn end-to-end data and AI solution architecture across modern cloud data platformsDesign and implement enterprise data architectures across SOO → SOR → CDM (Curated) layersLead core Data Architecture disciplines, including: conceptual, logical, and physical data modeling; MDM and reference data; metadata, lineage, and governanceDesign and build scalable batch and real-time data pipelines using lakehouse and warehouse patternsEnable and support AI / ML use cases on data platforms, including feature engineering, model integration, orchestration, and monitoringProvide architectural leadership on production-grade systems, covering CI/CD, security, performance, and observabilityPartner with engineers, delivery teams, and client stakeholders to align on architectural tradeoffs and delivery decisionsAct as a proactive thought partner, identifying opportunities for simplification, acceleration, and AI-driven value creationWho You Are8+ years of experience in Data Architecture, Solution Architecture, or Data Engineering rolesStrong consulting background with experience delivering complex, client-facing initiativesDeep hands-on expertise in SQL and PythonProven experience designing and delivering data pipelines and orchestration (Airflow, ADF, dbt)Experience with distributed data processing (Spark)Strong track record designing SOO / SOR / CDM architectures and dimensional data modelsSolid understanding of lakehouse and data warehouse patternsCloud implementation experience in Azure, AWS, or GCP (at least one at production scale)Practical experience delivering AI-enabled solutions to production, not just experimentationComfortable operating across multiple workstreams in fast-moving, ambiguous environmentsClear communicator, able to explain complex technical concepts to both technical and non-technical audiencesStrong ownership mindset with a bias toward executionNice to HaveExperience with Databricks, Snowflake, Synapse, or BigQueryExposure to MLOps and model deployment (Azure ML, SageMaker, Vertex AI, MLflow)Experience with Docker and KubernetesExperience working in regulated or transformation-heavy environmentsExperience supporting private equity–backed businessesOur ValuesClient First — We focus relentlessly on delivering outcomes that create value for our clientsWe, Not Me — We win together; collaboration drives transformation at scaleGet Stuff Done — We execute with speed and precision — because in PE, time mattersAI First — We embed AI at the core to enable scalable, high-leverage solutionsOwn It — We take accountability for results and deliver on what we promiseAgile Mindset — We adapt quickly and continuously seek better ways to move forwardWhat We OfferHigh-impact role on enterprise-scale data and AI transformation programsOpportunity to design modern, AI-enabled data platforms for PE-backed clientsExposure to top-tier private equity and global enterprise environmentsCollaboration with senior engineers and architects across geographiesFlexible, remote-first working model with strong autonomy
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