TechTorchData Architect
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 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 Team
TechTorch 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 Role
We 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 Do
Own end-to-end data and AI solution architecture across modern cloud data platforms
Design and implement enterprise data architectures across SOO → SOR → CDM (Curated) layers
Lead core Data Architecture disciplines, including:
conceptual, logical, and physical data modeling; MDM and reference data; metadata, lineage, and governance
Design and build scalable batch and real-time data pipelines using lakehouse and warehouse patterns
Enable and support AI / ML use cases on data platforms, including feature engineering, model integration, orchestration, and monitoring
Provide architectural leadership on production-grade systems, covering CI/CD, security, performance, and observability
Partner with engineers, delivery teams, and client stakeholders to align on architectural tradeoffs and delivery decisions
Act as a proactive thought partner, identifying opportunities for simplification, acceleration, and AI-driven value creation
Who You Are
8+ years of experience in Data Architecture, Solution Architecture, or Data Engineering roles
Strong consulting background with experience delivering complex, client-facing initiatives
Deep hands-on expertise in SQL and Python
Proven 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 models
Solid understanding of lakehouse and data warehouse patterns
Cloud implementation experience in Azure, AWS, or GCP (at least one at production scale)
Practical experience delivering AI-enabled solutions to production, not just experimentation
Comfortable operating across multiple workstreams in fast-moving, ambiguous environments
Clear communicator, able to explain complex technical concepts to both technical and non-technical audiences
Strong ownership mindset with a bias toward execution
Nice to Have
Experience with Databricks, Snowflake, Synapse, or BigQuery
Exposure to MLOps and model deployment (Azure ML, SageMaker, Vertex AI, MLflow)
Experience with Docker and Kubernetes
Experience working in regulated or transformation-heavy environments
Experience supporting private equity–backed businesses
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 to enable scalable, high-leverage solutions
Own It — We take accountability for results and deliver on what we promise
Agile Mindset — We adapt quickly and continuously seek better ways to move forward
What We Offer
High-impact role on enterprise-scale data and AI transformation programs
Opportunity to design modern, AI-enabled data platforms for PE-backed clients
Exposure to top-tier private equity and global enterprise environments
Collaboration with senior engineers and architects across geographies
Flexible, remote-first working model with strong autonomy