Senior Data Architect | Remote AI Platform Lead

Engg; England; On-site; GBP 95,000 - 130,000; Full time

Benefits offered by this job

Remote-first work environment

Biannual team offsites

AI tooling focus

High autonomy with ownership

Access to full data/AI stack

Exposure to PE portfolio companies

Job summary

TechTorch Data Practice seeks a Senior Data Architect to design, deploy, and govern enterprise-scale data architectures that power analytics, reporting, and AI initiatives. You will define data storage, access, integration, and security across systems while aligning data strategy with business priorities.

Collaborate with business and technology stakeholders to build scalable platforms, establish modeling standards, and mentor engineers.

Qualifications

• Experience designing robust enterprise data architectures for analytics, reporting, and AI-enabled use cases.
• Ability to lead technical directions and mentor engineers across data teams.
• Strong communication and stakeholder management across business and tech domains.

Responsibilities

• Develop and govern enterprise data architecture, models, and integration frameworks.
• Define architecture standards, governance, and documentation practices.
• Design scalable data platforms with cloud-native best practices.
• Lead data integration pipelines and API design across systems.
• Mentor engineers and ensure architectural consistency and performance.
• Oversee data quality, lineage, and security strategies.

Skills

7+ years data architecture

Data platforms

Mentoring data engineers

Effective communication

AI/ML in data architecture

Cloud data stacks

ETL/integration tools

BI/Visualization knowledge

CRM/ERP familiarity

Education

Bachelor's degree in CS/related field

Tools

Snowflake

Redshift

BigQuery

dbt

ER/Studio/Erwin

SQL Server

Oracle

MongoDB

Job description

TechTorch Data Practice seeks a Senior Data Architect to design, deploy, and govern enterprise-scale data architectures that power analytics, reporting, and AI initiatives. You will define data storage, access, integration, and security across systems while aligning data strategy with business priorities.

Collaborate with business and technology stakeholders to build scalable platforms, establish modeling standards, and mentor engineers.