About EXL

EXL is recognized as a global leader in analytics, artificial intelligence, and digital solutions, supporting a wide range of industries through innovative technology and data-driven strategies. Listed on NASDAQ under the ticker EXLS, EXL has a market valuation of approximately $1.3 billion and a global workforce of 48,000+ employees. With a strong presence across continents and a portfolio of 800+ clients worldwide, EXL continues to drive digital transformation at scale through cutting-edge engineering, domain expertise, and customer-centric solutions.

Role Overview

We are looking for a highly skilled Solution Architect to lead the design and implementation of RCU’s future-state data architecture on Snowflake deployed on Microsoft Azure . The architect will be responsible for defining scalable, secure, and compliant data solutions while enabling advanced analytics, real-time data processing, and AI/ML adoption. The role requires strong collaboration with client SMEs, engineering teams, and cross-functional stakeholders to ensure alignment with the overall data strategy and architectural roadmap.

Key Responsibilities

1. Architecture & Design

• Define the end-to-end architecture for Snowflake on Azure , including landing zones, resource hierarchy, and platform standards.
• Design data ingestion, transformation, and orchestration workflows using Azure Data Factory , Event Hub , and Fabric Data Factory .
• Develop scalable pipelines aligned to the Medallion Architecture (Bronze, Silver, Gold).
• Ensure best practices in performance optimization, storage design, and cost efficiency.

2. Governance, Security & Compliance

• Embed security-by-design principles across all layers: RBAC/ABAC, encryption, data masking, and secure connectivity.
• Define governance frameworks covering metadata, lineage, access control, versioning, and compliance requirements.
• Ensure adherence to enterprise and regulatory standards for data security and privacy.

3. Integration & Advanced Analytics Enablement

• Lead architectural integration with BI tools, APIs, Data Science platforms, and downstream consumer systems.
• Ensure the platform supports real-time ingestion , metadata-driven automation , and readiness for AI/ML workloads.
• Drive adoption of best practices for analytics acceleration and modern data engineering approaches.

4. Collaboration & Leadership

• Work with client SMEs and engineering teams to validate architecture decisions and roadmap alignment.
• Provide technical guidance and mentorship to engineering teams, ensuring high-quality delivery.
• Conduct design reviews, provide solution recommendations, and support architectural governance processes.

Required Skills & Experience

• Strong expertise in Snowflake architecture , Azure Data Platform , and cloud-native data engineering.
• Hands-on experience with ADF , Event Hub , Azure Fabric , and related Azure services.
• Deep understanding of data security frameworks, RBAC/ABAC, encryption techniques, and compliance controls.
• Expertise in designing large-scale, real-time and batch data pipelines.
• Knowledge of Medallion Architecture and metadata-driven frameworks.
• Strong communication, solutioning, and client-facing consulting experience.

Preferred Qualifications

• Certifications in Snowflake , Azure Architect , or related technologies.
• Experience working in consulting or enterprise architecture roles.
• Exposure to DataOps , CI/CD, or automation frameworks.