Job Title

InsureTech Co hiringRole: Data ArchitectLocation: Gurgaon/ NoidaArchitecture: 4+ yrsIndustry: InsureTechRole SummaryTo build modern Insurtech AI underpinned solutions, they are a growing team of hands on architects striving to build high quality solutions for their internal and external customers. TheData Architect is responsible for designing enterprise data solutions including data warehouses, data lakes, and analytics platforms. This role defines data strategy, establishes data governance, and architects scalable data infrastructure.Key ResponsibilitiesEnterprise Data Architecture & StrategyData Modeling & DesignData Integration & PipelinesData Governance & QualityPerformance & Cost OptimizationAnalytics & AI/ML EnablementCollaboration & LeadershipRequired SkillsData Architecture & ModelingMicrosoft Data Platform ExpertiseMulti-Platform Data TechnologiesETL/ELT & Data IntegrationData Governance & SecurityPerformance & OptimizationInsurance Domain KnowledgeRequired Experience7+ years in Data Engineering, data architecture3+ years in designing and implementing enterprise-scale data solutionsProven experience architecting solutions on Microsoft Azure data services with preference for candidates having led migrations from on-premises to cloud or multi-cloud data platform implementations. Prior experience in designing lakehouse style architectures.Track record of designing data warehouses and data lakes for complex organizations, preferably ininsurance or financial services environments with strict regulatory requirements. Hands-onexperience implementing data governance frameworks, establishing data quality standards, andbuilding data catalogs enabling self-service analytics. Demonstrated success architecting dataplatforms supporting AI/ML workloads including feature engineering pipelines and model trainingdatasets.Experience leading cross-functional data initiatives, collaborating with business stakeholders totranslate requirements into technical solutions, mentoring data engineering teams, and establishing architectural standards adopted across organizations. Evidence of optimizing data platform costs while maintaining performance SLAs and implementing DataOps practices including automated testing, CI/CD for data pipelines, and monitoring/alerting frameworks.CertificationsMicrosoft Certified: Azure Data Engineer Associate (DP-203), Microsoft Certified: Azure SolutionsArchitect Expert (AZ-305), or equivalent Azure data certifications. Additional valuable certificationsinclude Snowflake SnowPro Core Certification, AWS Certified Data Analytics – Specialty, GoogleProfessional Data Engineer, Databricks Certified Data Engineer Professional, and CDMP (CertifiedData Management Professional).Detailed JD will be provided as we discuss firther.