Pre-Sales Solution Architect

Job description

Pre-Sales Solution Architect

Role Summary

The 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.

Key Responsibilities

Lead customer discovery, assessments, and solution workshops. Identify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services. Design end-to-end Data & AI solutions covering Data Platforms, Data Warehouses, Lakehouses, Data Integration, Analytics, AI/ML, Data Governance, DataOps, and MLOps. Develop target-state architectures, roadmaps, operating models, and implementation approaches.

Lead solution development for RFPs, RFIs, proposals, and customer presentations. Create solution narratives, estimations, assumptions, risks, and transition strategies. Collaborate with delivery teams to develop commercially viable and technically feasible solutions. Support pricing models, resource plans, and service definitions. Technical Expertise Data Platforms & Engineering Data Lakes, Data Warehouses, Lakehouse

Architectures Enterprise Data Platforms, Data Mesh, Data Fabric Data Integration, ETL/ELT Data Modelling and Master Data Management Analytics & BI Enterprise Reporting Self-Service Analytics Operational Intelligence Dashboard Strategy KPI Frameworks Data Storytelling AI/ML Machine Learning Lifecycle Predictive Analytics Data Science MLOps AI Governance and Responsible AI Generative AI and AI Agents

Cognitive Services DataOps & MLOps CI/CD for Data Pipelines Data Observability Pipeline Automation DevSecOps Integration Monitoring and Continuous Improvement Cloud & Data Platforms Microsoft Azure: Azure Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric, Azure ML, Purview AWS: Glue, Redshift, S3 GCP: BigQuery, Dataflow, Vertex AI Modern Data Platforms: Snowflake, Databricks, Cloudera, Palantir, Talend

Success Metrics Win Rate AI & Data Services Solution Quality Competitive Pricing Team Collaboration Customer Satisfaction