Solutions Architect - Presales

Job Description:Title: Solutions Architect Pre-Sales

Experience: 10-15 years overall with 5+ years in pre-sales or enterprise architecture.

Domain Knowledge: Must have domain knowledge in at least one of the following verticals: BFSI (Banking, Financial Services, and Insurance) or Healthcare.

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.

Primary Skills:1. Technical Skills:

• Experience in architecture & design and consulting services, focused on enterprise solutions, data analytics platform, 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.