Solutions Architect Pre-Sales

":" About the Role

The Solutions Architect Pre-Sales is Rubiscapes most senior technical voice in the sales cycle, architecting end-to-end Decision Intelligence solutions for complex, multi-stakeholder enterprise deals. You will engage at CTO, Chief Data Officer, and VP Engineering levels to design deployment blueprints spanning SaaS, BYOC, On-Premises, and Air-Gap environments that integrate Rubiscapes six studios into a prospects existing data ecosystem. Your architectural credibility and platform depth will be the deciding factor in competitive displacements of Databricks, Snowflake-native stacks, and legacy BI platforms at Fortune 500 enterprises.

Key Responsibilities

Architect comprehensive Decision Intelligence platform designs that map a prospects current data estate (cloud, on-prem, hybrid) to Rubiscapes full six-studio capabilities, including RubiFlow, RubiStudio, RubiSight, RubiAI, RubiThings, and Business Workbench.

Lead CXO and CTO-level technical workshops to establish data strategy alignment, define success criteria, and position Rubiscapes

Own the technical win strategy for strategic accounts coordinating PoC scoping, staffing, and execution across pre-sales consultants, professional services, and product specialists.

Produce enterprise-grade solution design documents, integration architecture diagrams, and security compliance mapping for prospects with air-gap, BYOC, and hybrid deployment requirements.

Develop and present total cost of ownership (TCO) analyses demonstrating 5x cost reduction versus multi-tool legacy stacks, incorporating licensing, infrastructure, and operational cost modelling.

Act as the authoritative technical responder for complex RFPs in regulated industries (BFSI, government, defence, healthcare), covering data residency, RBAC, audit trails, and SLA commitments.

Partner with the Product team to define platform roadmap priorities based on architectural gaps identified during enterprise evaluations, directly influencing Rubiscapes 8-patent innovation pipeline.

Requirements

Requirements

6+ years of solutions architecture or pre-sales architecture experience in enterprise data platforms, cloud data warehousing, or AI/ML infrastructure.

Deep technical proficiency in at least two major cloud data platforms (AWS, Azure, GCP) and experience designing solutions on Databricks, Snowflake, or equivalent lakehouse/warehouse architectures.

Proven track record architecting and winning enterprise deals exceeding INR 2 Cr in annual contract value, with direct CXO engagement experience.

Strong command of data engineering patterns (ELT/ETL, streaming, batch, CDC), MLOps lifecycle management, and enterprise BI/analytics governance.

Experience producing formal solution design documents, security architecture reviews, and compliance mapping for regulated industry procurement processes.

Bachelors or Masters degree in Computer Science, Information Systems, or Engineering; relevant cloud or data certifications (AWS SA, Azure Solutions Architect, Databricks Certified) strongly preferred.

Nice to Have

Prior experience at a Decision Intelligence, augmented analytics, or AI platform vendor in a solutions architecture or field engineering role.

Published thought leadership, conference presentations, or Industry-Academia collaboration experience in data science or AI domains.

Exposure to IoT data architectures relevant to RubiThings deployments in manufacturing, utilities, or smart infrastructure.

Familiarity with Indias DPDP Act, RBI data localisation norms, or SEBI reporting requirements as they relate to enterprise data platform design.

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