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Data Architect / Technology Assessment Consultant Role

Latent Bridge
Posted 3 days ago, valid for 11 days
Salary

Competitive

Contract type

Contract

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Sonic Summary

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  • This is a remote contract position for a Data Architect / Technology Assessment Consultant lasting 1 month, with potential for extension based on performance.
  • The role involves leading technology assessments focused on data platform modernization and legacy ETL replacement, requiring strong experience in data architecture or technology consulting.
  • Candidates should have a solid understanding of Informatica PowerCenter, cloud data architectures, and experience with technologies like Snowflake and MuleSoft.
  • The position requires excellent documentation, stakeholder management, and the ability to translate technical analysis into clear business decisions.
  • The salary for this role is competitive and commensurate with experience, ideally seeking candidates with at least 5 years of relevant experience.

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.





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