Data 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