Pre-Sales Solution Architect - Data Services, Analytics, AI/ML & Data Platforms
Customer-facing pre-sales architect in Fujitsu's Global Pre-Sales & Solutions team who qualifies opportunities, designs end-to-end Data, Analytics, AI/ML and cloud data platform solutions, and leads RFP responses for global clients. Core stack spans Azure, AWS, GCP, Databricks, Snowflake, plus DataOps/MLOps practices.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 10+ years of experience in Data Services, Data Engineering, Analytics, Data Integration, Data Platforms, or Data Architecture
- 5+ years in customer-facing consulting, pre-sales, solutioning, or architecture roles
- Proven experience shaping and winning large-scale Data & Analytics transformation engagements
- Experience designing enterprise-wide Data Platforms and Data Modernization programs
- Experience developing business cases, proposals, and strategic transformation roadmaps
- Design expertise across data platforms: data lakes, data warehouses, lakehouse architectures, data mesh, data fabric
- Cloud data platform expertise: Azure (Data Factory, Synapse, Databricks, Fabric, Purview), AWS (Glue, Redshift, S3), GCP (BigQuery, Dataflow, Vertex AI)
- AI/ML expertise: ML lifecycle, predictive analytics, MLOps, AI governance, responsible AI, generative AI, AI agents
- Analytics & BI expertise: enterprise reporting, self-service analytics, dashboard strategy, KPI frameworks
- DataOps & MLOps expertise: CI/CD for data pipelines, data observability, pipeline automation, DevSecOps integration
Nice to have
- Experience across enterprise data strategy, governance, AI adoption roadmaps, generative AI use cases, data monetization, self-service analytics, and data product operating models
- Data quality, metadata management, lineage, compliance, regulatory controls, and information security
- Ability to position DataOps, AIOps, automation, and managed services for continuous improvement
Full description
Pre-Sales Solution Architect – Data Services, Analytics, AI/ML & Data PlatformsRole Summary
The Pre-Sales Solution Architect for Data & AI is a strategic and customer-facing role within the Global Pre-Sales & Solutions (GPS) organization responsible for shaping, designing, and positioning business-led Data, Analytics, AI/ML, DataOps, and Cloud Data Platform solutions for global customers.
The role works closely with Sales, Industry Leads, Delivery Teams, UVANCE Digital Shifts, Technology Partners, and Global Solution Architects to qualify opportunities, define solution, design delivery roadmaps, respond to RFPs, create differentiated solutions, and articulate the business value of Data & AI-led transformation.
Key Responsibilities
- Opportunity Qualification
- Engage with region / customers to understand business objectives, challenges, data maturity, and transformation priorities.
- Lead discovery workshops, assessments, and discussions across business and technology stakeholders.
- Identify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services.
- Solution Architecture & Design
- Design end-to-end Data & AI solutions encompassing:
- Data Platforms
- Modern Data Warehouses
- Data Lakes and Lakehouse Architectures
- Data Integration & Engineering
- Business Intelligence & Analytics
- AI/ML Platforms
- Data Governance & Data Quality
- DataOps & MLOps
- Define target-state architectures, operating models, roadmaps, and implementation approaches.
- Create scalable, secure, resilient, and cost-effective cloud-native architectures.
- RFP Response & Solution Development
- Lead solution development for RFPs, RFIs, proposals, and customer presentations.
- Develop solution narratives, effort estimations, assumptions, risks, and transition strategies.
- Collaborate with delivery teams to create commercially viable and technically feasible solutions.
- Contribute to pricing models, resource plans, and service definitions.
Core Technical ExpertiseData Platform & Data Engineering
- Data Lakes
- Data Warehouse
- Lakehouse Architectures
- Enterprise Data Platforms