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Latent Bridge - Data Architect - Technology Assessment Consultant

LatentBridgeβ€’Puneβ€’πŸŒ Remote
SENIOR_LEVEL
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 10/6/2026β€’Expires 11/9/2026
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Job Description

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

Required Skills

CI/CDCross-functional CollaborationData EngineeringDocumentationETLLeadershipNext.jsSnowflakeStakeholder Management

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