Senior Sales Engineer - Kipi

 Posted 5 hours ago
  
 India
  
5-10 years experience
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AI Summary

Act as a technical advisor to help customers modernize data platforms using Snowflake and the Modern Data Stack. Partner with sales teams to conduct discovery workshops, build POCs, and design solution architectures to accelerate deal closure.

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact

Job Description

LocationIndia (Remote / Work From Home)Work HoursRemote role based out of India with coverage up to 4:00 PM Eastern Time (ET) tocollaborate effectively with US customers and sales teams.About the RoleWe are looking for a seasoned and customer-focused Senior Sales Engineer to join ourgrowing Sales Engineering vertical. As a trusted technical advisor, you will work closely withClient Partners and Account Executives to understand customer business objectives, definesolution strategies, demonstrate technical capabilities, build Proof of Concepts (POCs) andProof of Values (POVs), and help customers modernize their data platforms using Snowflakeand the Modern Data Stack.Key Responsibilities● Partner closely with Sales teams throughout the opportunity lifecycle, from discovery todeal closure.● Act as the primary technical advisor for customers and prospects.● Conduct discovery workshops to understand business requirements and technicalchallenges.● Build solution architectures, implementation approaches, migration strategies, POCs,POVs, and technical demonstrations.● Respond to technical questionnaires, RFPs, and architecture assessments.● Accelerate opportunities by removing technical blockers and collaborating with Salesteams.● Contribute to reusable assets, frameworks, best practices, and internal enablementinitiatives.Technical Expertise● Strong understanding of Snowflake architecture and capabilities.● Experience across data ingestion, transformation, governance, modeling, and analyticsconsumption.● Hands-on experience with Modern Data Stack technologies and BI tools such as PowerBI and Tableau.● Strong understanding of data pipeline principles, batch and incremental processing,data modeling, and integration patterns.● Hands-on understanding of data migration methodologies and enterprise RDBMSplatforms including SQL Server and Oracle.● Hands-on experience using at least one AI-powered productivity tool. Preferred:Snowflake Cortex Code (CoCo).Required Experience & Qualifications● 7–9 years of relevant experience in Pre-Sales, Sales Engineering, Solution Consulting,Data Engineering, or Solution Architecture roles.● Strong understanding of data as a business domain and modern data platforms.● Good to have : SnowPro Core Certification.● Excellent written, verbal, and presentation skills.● Ability to work in a fast-changing technology landscape and embrace new challenges.● Strong stakeholder management and collaboration skills in a remote-first environment.● Well versed with Sales Engineering best practices and consultative solutioningapproaches.What Success Looks Like● Become a trusted technical advisor to customers and sales teams.● Accelerate deal progression through effective solutioning and customer engagement.● Deliver compelling demonstrations, POCs, and proposals that create measurablebusiness value.● Help customers successfully adopt Snowflake and modern data architectures whiledriving business outcomes.

Qualifications

Required Experience & Qualifications● 7–9 years of relevant experience in Pre-Sales, Sales Engineering, Solution Consulting,Data Engineering, or Solution Architecture roles.● Strong understanding of data as a business domain and modern data platforms.● Good to have : SnowPro Core Certification.● Excellent written, verbal, and presentation skills.● Ability to work in a fast-changing technology landscape and embrace new challenges.● Strong stakeholder management and collaboration skills in a remote-first environment.● Well versed with Sales Engineering best practices and consultative solutioningapproaches.

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