Solutions Architect Pre - Sales

Responsibilities:

• Work closely with customers to understand their business needs and challenges, translating them into actionable solutions.
• Lead onsite and virtual workshops with customers to design & develop prototypes/solutions in collaboration with engineering teams.
• Develop overall solutions including architecture, high-level design, statements of work, service design and bills of materials.
• Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor.
• Develop use case demonstrations and proofs of concept in collaboration with sales, customers and Impetus implementation teams.
• Lead technical responses to RFI/RFP.
• Create thought leadership through presenting at conferences, summits and events, writing, user group presentations and community involvement.
• Stay abreast of technology developments relevant to Impetus and its competitors, latest advancements in GenAI research and industry trends, contributing to the company's GenAI strategy.
• Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.
• Drive revenue through active participation in pipeline development, deal pursuit, and win strategies alongside the sales team.
• Build and maintain relationships with key customer stakeholders, acting as a long-term trusted advisor beyond individual deal cycles.
• Collaborate with Impetus product and engineering teams to channel customer feedback and market insights into the product roadmap.

Requirements:

• Experience in architecture & design and consulting services, focused on enterprise solutions, data analytics platforms, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data.
• Experience in defining and designing data governance, data management and data security solutions for an enterprise across business verticals
• Experience on at least one of the 3 major cloud platforms- AWS/ Azure/ GCP.
• Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI and their relevant services for building and deploying GenAI/Agentic workloads.
• Familiarity with Agentic AI architectures, RAG (Retrieval-Augmented Generation) patterns, and vector databases, MCP's, and knowledge of MLOps / LLMOps practices.
• Experience with BI and visualisation platforms (like Power BI, Tableau, Looker) and the ability to architect end-to-end analytics solutions from data platform to insight layer.
• Familiarity with real-time and streaming data and event-driven architecture patterns, data integration and ELT/ETL tooling.
• Working knowledge of compliance and regulatory frameworks relevant to target verticals (HIPAA, GDPR, SOC 2 PCI-DSS) and their implications for data architecture decisions.

Pre-Sales and Business Skills:

• Knowledge of market insight, technology trends and competitor intelligence.
• Experience in proposal management (RFP/RFI/RFQ, etc. )
• Comfort with solution sizing, effort estimation, and the commercial aspects of pre-sales, including building bills of materials that are both technically sound and commercially competitive.
• Ability to actively position Impetus against competitors with a clear, confident point of view on differentiation.
• Experience: 10-15 years overall with 5+ years in pre-sales or enterprise architecture.
• Must have domain knowledge in at least one of the following verticals: BFSI (Banking, Financial Services, and Insurance), Healthcare.