Presales GCP Data Cloud Solution Architect

A techno-functional architect with 6 to 10 years of industry experience, who can own presales solutioning end-to-end from discovery and architecture to proposal creation and client presentation while ensuring alignment with delivery and implementation best practices.

Primary Responsibilities

Presales & Solutioning

• Partner with Sales and Customer stakeholders to understand business and technical requirements
• Lead solution discovery workshops, technical discussions, and architecture envisioning sessions
• Create presales artifacts including
• Solution architecture documents
• Technical proposals and SOW inputs
• Effort estimations and sizing
• RFP/RFI responses
• Client presentations and demos
• Design end-to-end cloud data platform architectures aligned to client needs and industry best practices
• Present solutions, architecture, and value propositions to client technical and business stakeholders
• Support pricing strategy, effort estimation, and resource planning for proposals
• Collaborate with delivery teams to ensure solution feasibility and alignment with implementation best practices

Architecture & Technical Leadership

• Lead the design and implementation approach for cloud-based data platforms and data warehouses
• Translate business requirements into scalable, secure, and high-performance data architectures
• Develop reusable architecture patterns, accelerators, and best practices
• Ensure alignment with data governance, security, and compliance requirements
• Stay current with emerging trends in cloud data, analytics, and AI/ML

Stakeholder & Team Collaboration

• Work closely with Delivery, Engineering, and Customer teams to design optimal solutionsProvide technical leadership across multiple concurrent presales opportunities
• Support transition from presales to delivery with clear solution documentation and KT

Preferred Skills and Experience

• Proven experience designing cloud-native data platforms and modern data warehouse solutions (GCP-focused, Microsoft good to have)
• Strong knowledge of data warehousing, ETL/ELT, and data modeling
• Experience with cloud data platforms (BigQuery, Synapse/Fabric, Databricks, etc.)
• Experience designing scalable and reusable architecture patterns
• Cloud certifications (GCP, Microsoft) preferred
• Strong communication and storytelling skills for client-facing engagements
• Ability to translate business needs into technical solutions and value propositions
• Ability to work in fast-paced presales environments with multiple opportunities
• Excellent documentation and presentation skills