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Salary
≈ $29k – $54k per year (Estimated)
Location
Remote (likely India)
Seniority
Staff · 10+ years exp

First seen by Alion on Oct 6, 2026.

Overview
Company
Impact
Profile match
LatentBridge is a full-stack global AI innovation partner. We build and deploy production-ready, governance-first AI for enterprises operating in complex, regulated and high-stakes environments across banking, financial services, manufacturing and beyond.

This is a remote position.

Data Architect / Technology Assessment Consultant

Engagement:

Contract: 1 month

Extendable based on performance and project requirements

Role objective:

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.

Key responsibilities:

- 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.

- Develop workload-to-technology decision frameworks.

- 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.

Required experience:

- Strong experience in data architecture, data engineering or technology consulting.

- Proven experience with enterprise data platforms and modernization programs.

- Strong understanding of Informatica PowerCenter and modern cloud data architectures.

- Good working knowledge of Snowflake, MuleSoft, 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.

Preferred experience:

- Financial services or other regulated industries.

- Large-scale legacy modernization assessments.

- Experience defining migration strategies, operating models and implementation roadmaps.

What success looks like:

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

Common engagement expectations:

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

Skills

Data Architect, IT Consulting, IT Strategy, Data Management

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