Lead enterprise data architecture, modernization, and transformation initiatives across insurance and BFSI environments. Design data lakes, warehouses, and lakehouse platforms; establish data governance, security, compliance, and multi-cloud strategies. Oversee program delivery, Agile/SAFe execution, release management, environment strategy, DevOps, performance optimization, and engineering excellence. Enable AI/ML and advanced analytics through scalable data platforms while leading enterprise architecture and delivery teams.
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 OVERVIEWWe are looking for an experienced Data Architect with strong Insurance/BFSI domain expertise to lead enterprise-scale data architecture, modernization, and transformation initiatives.
• 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
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