Senior Data Architect: AI-Driven Data Platform (Remote)

Techtorch; United States; Remote; GBP 95,000 - 150,000; Full time

Benefits offered by this job

Remote-first work environment

Semi-annual team offsites

AI tooling integration

High autonomy and ownership

Access to full data & AI stack

Exposure to PE portfolio

Job summary

TechTorch is seeking a Senior Data Architect for its Data Practice. You will design, deploy, and govern enterprise data architectures that enable analytics, reporting, and AI-powered operations. The role emphasizes data modeling standards, scalable cloud-native solutions, and governance across the organization.

You will mentor engineers, collaborate with business and tech stakeholders, and drive data quality, security, and performance in a fast-paced, output-driven environment.

Qualifications

• Architect enterprise data architectures for analytics, reporting, and operations.
• Lead data modeling, warehousing, and integration efforts.
• Mentor engineers and enforce governance and standards.
• Collaborate with business and tech stakeholders across the enterprise.
• Ensure data security, quality, and scalability.

Responsibilities

• Develop and maintain enterprise data architecture diagrams.
• Define architecture standards and governance.
• Design scalable data warehousing and cloud-native solutions.
• Drive data integration pipelines and APIs.
• Lead data modeling and database design efforts.
• Mentor data engineers and analysts.
• Oversee data quality, lineage, and security.
• Guide on big data tools and cloud ecosystems.
• Support architectural reviews and roadmaps.

Skills

Data architecture

Technical leadership

Mentoring

Communication skills

Cloud platforms

Tools

dbt

ER/Studio

Erwin

SQL Server

Oracle

MongoDB

Talend

Informatica

Power BI

Tableau

Job description

TechTorch is seeking a Senior Data Architect for its Data Practice. You will design, deploy, and govern enterprise data architectures that enable analytics, reporting, and AI-powered operations. The role emphasizes data modeling standards, scalable cloud-native solutions, and governance across the organization.

You will mentor engineers, collaborate with business and tech stakeholders, and drive data quality, security, and performance in a fast-paced, output-driven environment.