---
title: 'Data Architect at Techtorch'
canonical: 'https://feeny.ai/job/data-architect-techtorch-eu-jrcvezk2gt5k'
type: 'job'
last_seen: '2026-09-09'
---

# Data Architect at Techtorch

- **Company:** Techtorch
- **Location:** EU +, United Kingdom
- **Employment:** full-time
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/techtorch/dfe148dd-a5c9-4588-9ddf-2302865c729c

## Job description

TechTorch Data Practice

Data Architect

Architect end-to-end products on a solid data foundation, with AI as a force multiplier.

Data Practice | Remote (Global) | Senior

## About the Practice

TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries.

We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place.

## The Role

As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You’ll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities.

You will collaborate with both business and technology stakeholders to design scalable and efficient data platforms, define data modeling standards, and enable seamless integration across the enterprise. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives.

## What You'll Do

- Develop and maintain enterprise data architecture, including models, flow diagrams, and integration frameworks
- Define and enforce architecture standards, governance models, and documentation practices
- Design scalable, flexible solutions that align with modern data warehousing and cloud-native best practices
- Drive the design and implementation of data integration pipelines and APIs across systems
- Lead efforts in data modeling, database design, and architecture optimization
- Collaborate with data engineers, analysts, and developers to ensure architectural consistency and performance
- Mentor and provide technical direction to engineers on the Data Practice team, including full-stack engineers building applications on top of the data foundation
- Oversee data quality, lineage, and security strategies across the organization
- Provide guidance on big data technologies, ETL platforms, and modern cloud ecosystems
- Support strategic decisions through architectural reviews, proofs of concept, and solution roadmaps

## Who You Are

We’re looking for high-caliber professionals who meet the following criteria:

- 7+ years of experience in data architecture, data engineering, or related roles in complex environments
- Demonstrated experience designing robust technical solutions for clients or customers
- Experience serving as a technical lead - mentoring, coaching, and setting technical direction for data engineers, analysts, and other technical resources
- Strong background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design
- Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD)
- Proficient in data modeling tools (e.g., ER/Studio, Erwin) and relational/NoSQL databases (e.g., SQL Server, Oracle, MongoDB)
- Fluent with AI coding agents (e.g., Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them
- Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines
- Experience with CRM and/or ERP ecosystems (e.g., Salesforce, NetSuite) and analyzing data to uncover quality issues, identify revenue leakage and/or drive operational efficiency
- Knowledge of modern cloud data stacks (e.g., Azure, AWS, GCP)
- Hands-on experience with ETL/integration tools (e.g., Talend, Informatica)
- Familiarity with building and/or designing reporting solutions for business stakeholders (e.g., Power BI, Tableau)
- Comfortable contributing to business development activities such as supporting proposals, scoping projects, and growing accounts
- Strategic mindset with a focus on business value, scalability, and performance
- Excellent communication skills and ability to influence cross-functional stakeholders
- Adaptable, collaborative, and continuously improving in a fast-paced delivery environment

## Our Values

Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results:

- 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, enabling scalable, high-leverage solutions
- Own It – We take accountability for results, delivering on what we promise
- Agile Mindset – We adapt quickly and proactively seek better ways to move forward

## What We Offer

- Flexible, remote-first work environment with high-performance expectations and autonomy.
- Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face.
- A team that takes AI tooling seriously and expects you to integrate it into your work.
- High-autonomy, high-ownership work across the full arc of real client problems.
- Access to the full modern data and AI stack — no one-tool shops.
- Exposure to top-tier private equity firms and their portfolio companies.

## About Techtorch

## Company Overview
- **One-liner**: TechTorch is an AI-native operational execution partner that deploys production-ready agentic solutions to automate revenue workflows and drive EBITDA impact for Private Equity-backed companies.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: Woodside, California, United States
- **Founded**: 2021
- **Founders**: Miguel Vasconcelos (Co-Founder & Chief Product Officer) and Jordi (last name not publicly available)

## Core Business
- **Primary industry**: AI-Powered Enterprise Technology (ET) Solutions and IT Consulting
- **Target customers**: Private Equity-backed portfolio companies (B2B, Enterprise)
- **Mission statement**: To operationalize winning strategies in commercial excellence, enterprise data, and AI use cases to drive successful outcomes at unparalleled speed.

## Products & Services
- **Beacon Framework Library**: A production-tested library of ~80% ready operational accelerators for deploying AI-native revenue workflows across marketing, sales, deal desk, customer operations, and commercial data management.
- **Beacon Revenue Manager**: An agentic solution that uses AI agents to automatically detect invoice errors, pricing inconsistencies, missed discounts, and unbilled usage — reducing revenue leakage to 0%.
- **Beacon Quote Manager**: An agentic solution that generates accurate quotes instantly, delivering 90% faster quote creation with zero pricing errors.
- **Marketing Operations**: Agentic automation for campaign execution, lead routing, enrichment, and funnel operations.
- **Sales Operations**: Agentic automation for CRM workflows, forecasting, and seller operations (targeting 40%+ seller productivity).
- **Deal Desk**: Agentic acceleration of pricing, approvals, and quote-to-cash workflows.
- **Customer Operations**: Agentic automation for onboarding, renewals, and customer workflows (targeting earlier churn identification).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Venture Round raised in December 2022 from 1 investor (amount and lead investor not publicly disclosed)
- **Notable Investors/Partners**: The company has 150+ Private Equity-owned clients worldwide and operates in 14 countries. The company acquired AstuteForce on May 20, 2024.
- **Growth Signals**: Headcount grew 71.2% year-over-year (81 employees as of latest data). LinkedIn followers grew 162.9% year-over-year. The company operates in 14 countries including the US, Poland, Germany, UK, and Spain. They have a documented cadence of 4–8 week deployments.

## Competitive Advantages
- **Speed of Deployment**: Production-ready operational workflows deployed in 4–8 weeks, not quarters — a core differentiator from traditional consulting.
- **Operator DNA**: Team of 150+ former operators, consultants, and AI builders from Bain, McKinsey, Accenture, Meta, LinkedIn, Cisco, Nike, and leading AI startups.
- **EBITDA-Focused Outcomes**: Every deployment is tied directly to operational KPIs, revenue acceleration, and EBITDA improvement.
- **Reusable Playbooks**: Portfolio-scale execution with reusable playbooks and operational architectures designed for rapid deployment across portfolio companies.
- **~80% Ready Frameworks**: Pre-built accelerators that reduce deployment time significantly.

## Strategic Focus
- **AI-Native Revenue Operations**: Deep focus on automating the entire revenue engine (marketing, sales, deal desk, customer operations, commercial data) with agentic AI.
- **PE-Backed Company Growth**: Serving the specific needs of Private Equity portfolio companies, helping them achieve rapid operational improvements and EBITDA gains.
- **Rapid Deployment Model**: Continuously refining their 4–8 week deployment methodology to outpace traditional consulting models.
- **Talent Acquisition**: Aggressively hiring top AI and data engineering talent to scale their delivery capacity.

## Why Work Here
- **Culture & Values**: Described as a "bunch of non-conformist dreamers" who reject the traditional consulting model of "bloated teams, endless meetings, bureaucracy, excuses, and politics." The company values outcomes over time and resources, and emphasizes working hard and playing hard.
- **Work Environment**: Remote-first with hubs in Silicon Valley (Woodside, CA), Seattle, and Warsaw, Poland. The company also has offices in Kraków, Poland.
- **Pace & Impact**: Employees work on forward-deployed, PE-portfolio engagements that ship production AI in 4–8 weeks with end-to-end ownership. The pace is described as "production-first" with tight sprints and rapid decision-making.
- **Team Composition**: A mix of former top-tier consultants (Bain, McKinsey, Accenture) and Big Tech engineers (Meta, LinkedIn, Cisco, Nike), creating a blend of strategic and technical expertise.
- **Recent Job Postings**: Active roles include Full Stack AI + Data Engineer, Delivery Manager (CPQ / RevOps / Lead-to-Cash), AI Developer, AI Data Engineer, Data Architect, and Recruiter.
- **Key Insight for Candidates**: The consulting cadence brings tight deadlines, shifting scopes, and client-driven priorities — suitable for those who thrive on high autonomy and measurable impact.

## Sources
1. [techtorch.io](https://techtorch.io/)
2. [techtorch.io/about](https://techtorch.io/about)
3. [linkedin.com/company/techtorch](https://www.linkedin.com/company/techtorch)
4. [builtin.com/company/techtorch](https://builtin.com/company/techtorch)
5. [builtin.com/company/techtorch/faq/workplace-perception](https://builtin.com/company/techtorch/faq/workplace-perception)

## Other roles at Techtorch

- [Business Analyst](https://feeny.ai/job/business-analyst-techtorch-poland-sm344dx641ey) — Poland
- [AI Developer](https://feeny.ai/job/ai-developer-techtorch-poland-bcjs3abbxmf7) — Poland
- [Forward Deployed AI Engineer](https://feeny.ai/job/forward-deployed-ai-engineer-techtorch-eu-hkdq1k6ejn2b) — EU +, United Kingdom
- [Salesforce Architect](https://feeny.ai/job/salesforce-architect-techtorch-poland-r6fwe9g09fhb) — Poland
- [Senior Forward Deployed AI Engineer](https://feeny.ai/job/senior-forward-deployed-ai-engineer-techtorch-india-ybv9sa8gffep) — India
- [AI Architect/AI Subject Matter Expert](https://feeny.ai/job/ai-architect-ai-subject-matter-expert-techtorch-united-states-yz7tvk5x9hnb) — United States
- [Full Stack AI Engineer (Data)](https://feeny.ai/job/full-stack-ai-engineer-data-techtorch-united-states-wztmd3hjrd7h) — United States
- [AVP of Commercial Excellence](https://feeny.ai/job/avp-of-commercial-excellence-techtorch-india-tvcm6m79mwfs) — India
- [Azure DevOps Engineer](https://feeny.ai/job/azure-devops-engineer-techtorch-poland-vc42d7m1cq2g) — Poland
- [DevOps Multicloud](https://feeny.ai/job/devops-multicloud-techtorch-poland-t2eh38msp09c) — Poland