About the role

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.

This document is for information purposes only.

Databrick Architect