Data Architect

InsureTech Co hiring

Data Architect

Location: Gurgaon/ Noida

Architecture: 4+ yrs

Industry: InsureTech

Role 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 & Leadership

Required Skills

Data Architecture & Modeling

Microsoft Data Platform Expertise

Multi-Platform Data Technologies

ETL/ELT & Data Integration

Data Governance & Security

Performance & Optimization

Insurance Domain Knowledge

Required Experience

7+ years in Data Engineering, data architecture

3+ years in designing and implementing enterprise-scale data solutions

Proven 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.