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 .