Remote Data Architect - AI-Driven Data Products

Insight Global; Greater London; Remote; GBP 90,000 - 130,000; Part time

Benefits offered by this job

Remote work

Job summary

Insight Global is seeking a hands-on Data Architect to design and deliver AI-enabled data products within a large-scale enterprise data platform. You will partner with product managers, engineering, and business stakeholders to create scalable data models and data foundations that support AI/ML and agentic AI use cases.

The role requires designing datasets, data models, and data products, ensuring governance, metadata, and data quality standards, and collaborating across teams to enable

Qualifications

• 10+ years of experience in data modeling and architecture in enterprise environments.
• Hands-on SQL, Apache Spark, and collaboration with data engineering teams.
• Experience supporting AI/ML initiatives through data architecture and data foundations.
• Understanding of governance, metadata, lineage, and data quality best practices.

Responsibilities

• Design scalable enterprise data architectures and data products.
• Create and maintain logical and physical data models for AI/ML initiatives.
• Make datasets accessible for end users, analytics teams, and AI apps.
• Partner with product managers to translate requirements into technical solutions.
• Define governance standards and oversee data quality and metadata management.
• Support AI initiatives by designing data foundations and pipelines for intelligent workflows.
• Collaborate with engineering to ensure scalable, maintainable solutions aligned with standards.
• Drive architecture delivery from concept to implementation.

Skills

Data modeling

Data architecture

SQL

Apache Spark

AI/ML data architecture

Data governance

Tools

AWS

Azure

GCP

Job description

Insight Global is seeking a hands-on Data Architect to design and deliver AI-enabled data products within a large-scale enterprise data platform. You will partner with product managers, engineering, and business stakeholders to create scalable data models and data foundations that support AI/ML and agentic AI use cases.

The role requires designing datasets, data models, and data products, ensuring governance, metadata, and data quality standards, and collaborating across teams to enable