Description

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.

Responsibilities

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.

Qualifications

- 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.
- Solid AWS data services experience.
- Expertise in SQL, Spark, Python.
- Strong understanding of data security, governance, and compliance.
- Experience leading large transformation programs.

📌 DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering (Bengaluru)
🏢 Leading
📍 Bengaluru