Job Title

InsureTech Co hiringRole:Data Architect Location: Gurgaon/ Noida Architecture: 4+ yrs Industry: InsureTechRole Summary To 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. The Data 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 Responsibilities Enterprise Data Architecture & Strategy Data Modeling & Design Data Integration & Pipelines Data Governance & Quality Performance & Cost Optimization Analytics & AI/ML Enablement Collaboration & LeadershipRequired Skills Data Architecture & Modeling Microsoft Data Platform Expertise Multi-Platform Data Technologies ETL/ELT & Data Integration Data Governance & Security Performance & Optimization Insurance Domain KnowledgeRequired Experience 7+ years in Data Engineering, data architecture 3+ 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 in insurance or financial services environments with strict regulatory requirements. Hands-on experience implementing data governance frameworks, establishing data quality standards, and building data catalogs enabling self-service analytics. Demonstrated success architecting data platforms supporting AI/ML workloads including feature engineering pipelines and model training datasets.Experience leading cross-functional data initiatives, collaborating with business stakeholders to translate 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.Certifications Microsoft Certified: Azure Data Engineer Associate (DP-203), Microsoft Certified: Azure Solutions Architect Expert (AZ-305), or equivalent Azure data certifications. Additional valuable certifications include Snowflake SnowPro Core Certification, AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Databricks Certified Data Engineer Professional, and CDMP (Certified Data Management Professional).Detailed JD will be provided as we discuss firther.