{"id":1945507,"url":"https://alion.io/job/latentbridge-data-architect","title":"Data Architect","company":{"id":3800380,"name":"LatentBridge","domain":"latentbridge.com","url":"https://alion.io/company/latentbridge","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Pune, 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performance and project requirements\n\nRole objective : \n\nLead technology assessment engagements focused on data platform modernization, legacy ETL replacement and target-state architecture.\n\nThe role combines architecture, technology evaluation, stakeholder management and structured assessment delivery.\n\nKey responsibilities : \n\n- Lead data modernization assessments from discovery through final recommendations.\n\n- Define assessment objectives, evaluation criteria, evidence requirements and workplan.\n\n- Analyse legacy ETL estates and identify workload, architecture and operating-model patterns.\n\n- Evaluate multiple technologies against functional, architectural, operational and economic criteria.\n\n- Assess ETL, ELT, ingestion, transformation and orchestration architecture options.\n\n- Define target-state data architecture and technology roles.\n\n- Develop workload-to-technology decision frameworks.\n\n- Assess migration approaches, automation opportunities, remediation requirements and sequencing.\n\n- Develop migration effort and cost models in collaboration with technical specialists.\n\n- Assess governance, metadata, lineage, security, CI/CD and production operating requirements.\n\n- Lead client workshops with architecture, engineering, platform and operations stakeholders.\n\n- Synthesize technical findings into clear decision papers, architecture views and modernization roadmaps.\n\n- Distinguish validated findings, assumptions and areas requiring subsequent proof of concept.\n\nRequired experience : \n\n- Strong experience in data architecture, data engineering or technology consulting.\n\n- Proven experience with enterprise data platforms and modernization programs.\n\n- Strong understanding of Informatica PowerCenter and modern cloud data architectures.\n\n- Good working knowledge of Snowflake, MuleSoft, dbt and modern ingestion and transformation patterns.\n\n- Strong understanding of ETL, ELT, orchestration, metadata and lineage.\n\n- Experience evaluating technology options and defining target-state architectures.\n\n- Strong documentation, workshop facilitation and stakeholder management skills.\n\n- Ability to translate detailed technical analysis into clear business and technology decisions.\n\nPreferred experience : \n\n- Financial services or other regulated industries.\n\n- Large-scale legacy modernization assessments.\n\n- Experience defining migration strategies, operating models and implementation roadmaps.\n\nWhat success looks like : \n\nStrong architecture judgement, structured assessment leadership, effective stakeholder engagement, and clear translation of technical evidence into a practical target-state and modernization strategy.\n\nCommon engagement expectations : \n\nAll roles are expected to : \n\n- Work as part of a cross-functional assessment team.\n\n- Participate in client workshops and technical working sessions.\n\n- Analyse client-provided artefacts and evidence.\n\n- Produce 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