{"id":2121038,"url":"https://alion.io/job/fujitsu-pre-sales-solution-architect","title":"Pre-Sales Solution Architect","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Snowflake","optional":false},{"name":"Talend","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-08T23:55:13Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T00:20:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Pre-Sales Solution Architect\nRole Summary\nThe Pre-Sales Solution Architect for Data & AI is a customer-facing role responsible for shaping, designing, and positioning Data, Analytics, AI/ML, DataOps, and Cloud Data Platform solutions for global customers. The role works closely with Sales, Industry Leads, Delivery Teams, Technology Partners, and Global Solution Architects to qualify opportunities, develop solutions, respond to RFPs, and articulate the business value of Data & AI transformation.\nKey Responsibilities\nLead customer discovery, assessments, and solution workshops.\nIdentify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services.\nDesign end-to-end Data & AI solutions covering Data Platforms, Data Warehouses, Lakehouses, Data Integration, Analytics, AI/ML, Data Governance, DataOps, and MLOps.\nDevelop target-state architectures, roadmaps, operating models, and implementation approaches.\nLead solution development for RFPs, RFIs, proposals, and customer presentations.\nCreate solution narratives, estimations, assumptions, risks, and transition strategies.\nCollaborate with delivery teams to develop commercially viable and technically feasible solutions.\nSupport pricing models, resource plans, and service definitions.\nTechnical Expertise\nData Platforms & Engineering\nData Lakes, Data Warehouses, Lakehouse Architectures\nEnterprise Data Platforms, Data Mesh, Data Fabric\nData Integration, ETL/ELT\nData Modelling and Master Data Management\nAnalytics & BI\nEnterprise Reporting\nSelf-Service Analytics\nOperational Intelligence\nDashboard Strategy\nKPI Frameworks\nData Storytelling\nAI/ML\nMachine Learning Lifecycle\nPredictive Analytics\nData Science\nMLOps\nAI Governance and Responsible AI\nGenerative AI and AI Agents\nCognitive Services\nDataOps & MLOps\nCI/CD for Data Pipelines\nData Observability\nPipeline Automation\nDevSecOps Integration\nMonitoring and Continuous Improvement\nCloud & Data Platforms\nMicrosoft Azure: Azure Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric, Azure ML, Purview\nAWS: Glue, Redshift, S3\nGCP: BigQuery, Dataflow, Vertex AI\nModern Data Platforms: Snowflake, Databricks, Cloudera, Palantir, Talend\nSuccess Metrics\nWin Rate\nAI & Data Services Solution Quality\nCompetitive Pricing\nTeam Collaboration\nCustomer Satisfaction","description_format":"text","description_chars":2349,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-08T23:55:13Z"}],"visa":[],"liveness":{"score":22,"band":"cold","label":"Long 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