Vrinda International
DATA ARCHITECT – INSURANCE / BFSI
PAN India, INفي الموقعدائمدوام كامل
تم النشر في 5 سبتمبر 2026
تم نشر هذه الوظيفة باللغة EN
HIRING | DATA ARCHITECT – INSURANCE / BFSI
Location: Pan India – Pune, Kolkata, Chennai, Hyderabad, Warangal, Coimbatore, Noida & Bangalore
Experience: 12+ Years
Budget: ₹22.5–24.5 LPA
Shift: 11:30 AM – 9:00 PM
Position: Data Architect
ROLE OVERVIEW
We are looking for an experienced Data Architect with strong Insurance/BFSI domain expertise to lead enterprise-scale data architecture, modernization, and transformation initiatives.
KEY RESPONSIBILITIES
- Design and implement enterprise-scale Data Lakes, Data Warehouses & Lakehouse platforms
- Define scalable, high-performance and future-ready data architectures
- Lead end-to-end program delivery covering scope, schedule, cost and quality
- Drive Agile/SAFe planning, governance and execution
- Lead implementation, release management and Dev/UAT/Prod environment strategy
- Drive performance optimization, DevOps practices and engineering excellence
- Enable AI/ML and advanced analytics through robust data platforms
- Define enterprise data strategy, governance and compliance frameworks
- Lead multi-cloud transformation and modernization initiatives
REQUIRED SKILLS
- 12+ years of experience in Data Architecture / Enterprise Architecture
- Strong Insurance / BFSI domain experience
- Hands-on expertise with AWS, Azure & GCP
- Strong knowledge of ETL/ELT, Spark, Kafka & distributed data processing
- Enterprise data platform and solution architecture expertise
- Strong understanding of Data Governance, Security & Compliance
- Experience with program/delivery leadership and Agile/SAFe
GOOD TO HAVE
- Data catalog, lineage & metadata management tools
- GDPR, HIPAA & SOC2 knowledge
- Power BI / Tableau
- Dataiku, Databricks ML or similar AI/ML platforms
ملخص الدور
نوع الوظيفة
دوام كامل
المهارات المطلوبة
Insurance / BFSI domain expertiseEnterprise Data Architecture (Data Lakes, Data Warehouses, Lakehouse)AWSMicrosoft AzureGoogle Cloud Platform (GCP)ETL/ELT and data integrationApache SparkApache Kafka and distributed stream processingData GovernanceData Security & ComplianceProgram and delivery leadership (scope, schedule, cost, quality)Agile / SAFe planning and governanceDevOps and release/environment management for data platformsAI/ML platform enablement (Databricks, Dataiku or similar)Metadata management, data catalog & lineage tools
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