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Location
In office (Bengaluru)
Seniority
Architect · 15+ years exp
Overview
Company
Impact
Profile match
Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.

We are seeking a highly experienced Snowflake Solution Architect with 14+ years of experience in enterprise data platforms, modern cloud ecosystems, and large-scale transformation programs, with strong exposure to the Insurance domain.

The ideal candidate will lead end-to-end architecture/solution design centered on Snowflake, across Azure and AWS, enabling scalable, secure, and AI-ready data platforms for Insurance carriers and related BFSI clients. This role requires technical expertise, practice contribution, executive communication capability, and hands-on leadership in complex modernization initiatives, along with exposure to PreSales & Solutioning teams.

1. Architecture & Strategy

  • Define enterprise data architecture strategy centered on Snowflake across multi-cloud (Azure & AWS).
  • Design scalable Snowflake-based data platform architectures tailored to Insurance use cases (policy administration, claims, underwriting, Customer 360).
  • Establish data platform reference architecture, standards, and governance frameworks.
  • Drive cloud-native, serverless, and event-driven architectural patterns.

2. Snowflake Architecture & Engineering

  • Architect Snowflake data models, warehouses, and layered pipelines (Bronze/Silver/Gold equivalents).
  • Design Snowflake-native ingestion frameworks (Snowpipe, Streams & Tasks) for real-time and batch data.
  • Implement Snowflake governance features (RBAC, Data Sharing, Time Travel, Secure Views).
  • Enable AI/ML use cases leveraging Snowflake Cortex and Snowpark.
  • Optimize performance, cost (credit usage), and workload isolation via warehouse sizing strategies.

3. Azure Architecture

  • Design Azure data services integrating with Snowflake:
    • ADLS Gen2
    • Azure SQL
    • Azure Purview
    • Event Hub / Service Bus
  • Implement enterprise security using Azure AD, RBAC, and Managed Identities.

4. AWS Architecture

  • Architect AWS-native data platforms integrating with Snowflake using:
    • S3
    • Glue
    • Redshift
    • EMR
    • Lambda
    • IAM
    • Kinesis
  • Design cross-cloud integration patterns (Azure ↔ AWS ↔ Snowflake).
  • Establish cost governance and FinOps practices.

5. PreSales & Solutioning

  • Partner with PreSales & Solutioning teams on RFP/RFI responses, solution estimation, and proposal development.
  • Support client-facing pitches, POCs, and technical due diligence during deal cycles.
  • Translate business requirements into winnable technical solutions and pricing constructs.

6. Leadership & Stakeholder Management

  • Lead architecture reviews, solution proposals, and design authority boards.
  • Engage with C-level stakeholders, deliver demonstrations, and translate business strategy into technical roadmaps.
  • Mentor architects and senior engineers.
  • Drive RFP responses, solution estimation, and delivery governance.
  • 15+ years in Data Engineering, Cloud Architecture, or Enterprise Data Platforms.
  • 5+ years hands-on with Snowflake architecture and implementation.
  • Prior experience in the Insurance domain (policy admin, claims, underwriting, or related lines).
  • Exposure to PreSales & Solutioning teams, including RFP responses and client-facing solutioning.
  • Deep Azure data ecosystem knowledge.
  • Strong AWS data services experience.
  • Expertise in SQL, Spark, Python.
  • Strong understanding of data security, governance, and compliance.
  • Experience leading large transformation programs.
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