Data Architect​/Technology Assessment Consultant

Data Architect / Technology Assessment Consultant Role

At Latent Bridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and Intellix Core—are built for this depth.

Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

Intellix Core is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

This is a remote position.

Extendable based on performance and project requirements.

Lead technology assessment engagements focused on data platform modernization, legacy ETL replacement and target-state architecture. The role combines architecture, technology evaluation, stakeholder management and structured assessment delivery.

• Lead data modernization assessments from discovery through final recommendations.
• Define assessment objectives, evaluation criteria, evidence requirements and workplan.
• Analyse legacy ETL estates and identify workload, architecture and operating-model patterns.
• Evaluate multiple technologies against functional, architectural, operational and economic criteria.
• Assess ETL, ELT, ingestion, transformation and orchestration architecture options.
• Define target-state data architecture and technology roles.
• Assess migration approaches, automation opportunities, remediation requirements and sequencing.
• Develop migration effort and cost models in collaboration with technical specialists.
• Assess governance, metadata, lineage, security, CI/CD and production operating requirements.
• Lead client workshops with architecture, engineering, platform and operations stakeholders.
• Synthesize technical findings into clear decision papers, architecture views and modernization roadmaps.
• Distinguish validated findings, assumptions and areas requiring subsequent proof of concept.

• Strong experience in data architecture, data engineering or technology consulting.
• Proven experience with enterprise data platforms and modernization programs.
• Strong understanding of Informatica Power Center and modern cloud data architectures.
• Good working knowledge of Snowflake, Mule Soft, dbt and modern ingestion and transformation patterns.
• Strong understanding of ETL, ELT, orchestration, metadata and lineage.
• Experience evaluating technology options and defining target-state architectures.
• Strong documentation, workshop facilitation and stakeholder management skills.
• Ability to translate detailed technical analysis into clear business and technology decisions.

• Financial services or other regulated industries.
• Experience defining migration strategies, operating models and implementation roadmaps.

Strong architecture judgement, structured assessment leadership, effective stakeholder engagement, and clear translation of technical evidence into a practical target-state and modernization strategy.

All roles are expected to:

• Work as part of a cross-functional assessment team.
• Participate in client workshops and technical working sessions.
• Analyse client-provided artefacts and evidence.
• Produce concise, high-quality technical documentation.
• Work within the agreed assessment timeline.
• Clearly distinguish evidence, assumptions and areas requiring further validation.
• Maintain confidentiality of client information and technical artefacts.
• Support transition of assessment findings into the next phase where applicable.