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Job Title


Senior Solutions Architect – Data Engineering


Company : Narwal


Location : Kanpur, Uttar Pradesh


Created : 2026-04-30


Job Type : Full Time


Job Description

Senior Solutions Architect – Data EngineeringLocation: India - RemoteEmployment Type: Full-timeAbout Us:Narwal is a high-growth global AI, Data, and Quality Engineering services and solutions company headquartered in Cincinnati, Ohio. With a Global Delivery Model spanning the United States and Canada, nearshore delivery in Mexico, a growing presence in the United Kingdom, and offshore development centres in India, Narwal partners with leading enterprises to modernize data platforms, enable AI-driven innovation, and deliver next-generation quality engineering.Recognized on the Inc. 5000 list of fastest-growing companies, Narwal has also been named Best IT Services Company, Best Data Technology Company, and Tricentis Partner of the Year, and is a Certified Great Place to Work.Why Narwal?Narwal is on an ambitious growth journey, and this is an opportunity to be part of the leadership team shaping that story.The Role:We are seeking a highly experienced Data Solution Architect to lead client-facing architecture, pre-sales solutioning, and technical design authority for our Data Practice.This role will act as the bridge between sales and delivery, ensuring that solutions are both technically sound and executable on a scale. You will partner closely with the Head of Data and Head of AI, who lead offshore delivery, while owning architecture strategy and client engagement in the US.This is a hands-on leadership role, requiring deep technical expertise, strong communication skills, and the ability to influence both clients and internal teams.Key Responsibilities:Client Engagement & Technical LeadershipLead client discovery workshops and technical discussionsTranslating business requirements into practical data solutionsBuild trusted advisor relationships with client stakeholdersPresent solutions to executive and technical audiencesPresales & SolutioningPartner with sales to shape deals and proposalsLead RFP/RFI responses, solution design, and estimationDevelop POCs, demos, and reference architecturesImprove win rates through strong technical positioningDelivery Oversight (Design Authority)Provide architecture oversight during deliveryEnsure alignment between design and executionResolve technical escalations and design challengesMinimize rework through clear upfront architectureSolution Architecture LeadershipOwn end-to-end data engineering project delivery across engagementsDefine scalable, secure, and cost-effective solutionsServe as the final authority on technical design decisionsCross-Functional CollaborationWork closely with:Head of Data on Execution & deliveryHead of AI on advanced analytics & AI integrationSales team on pipeline and deal strategyAct as the single point of accountability for technical integrityPractice DevelopmentContribute to data practice strategy and growthBuild reusable solution accelerators and frameworksMentor teams on modern data architecture patternsSupport expansion into AI, analytics, and platform engineeringRequired QualificationsExperience12–15+ years in data engineering, architecture, or analytics5+ years in solution architecture or consulting rolesStrong experience in client-facing roles (consulting/services)Proven track record in presales and deal supportTechnical ExpertiseModern data platforms (e.g., Snowflake, Databricks, BigQuery)Cloud ecosystems (e.g., AWS, Azure, GCP)Data engineering (ETL/ELT, pipelines, orchestration)Data warehousing, data lakes and Lakehouse architectureAPIs, integrations, and real-time data processingData governance, security, and complianceSoft SkillsStrong executive communication and presentation skillsAbility to simplify complex technical conceptsHigh ownership and decision-making capabilityExperience working with global/offshore teamsStrong problem-solving and critical thinking skillsPreferred QualificationsExperience in AI/ML integration with data platformsBackground in consulting or professional services firmsExposure to multiple industries (finance, healthcare, retail, etc.)Experience building or scaling data practice