Cloud - Architect

Primary Objective - Design and implement standardized, modular data models that can be adapted across multiple Operating Entities (OEs) at client, leveraging best practices from various modeling methodologies (Data Vault, Kimball, etc.) to deliver curated, reusable “data products” for business use cases.

Key Responsibilities

• Data Modeling Strategy - Develop and maintain enterprise-level data modeling standards based on Data Vault 2.0 principles. Harmonize methodologies (Data Vault, Kimball, Inmon) to create a unified modeling approach.
• Reusable Model Design - Create “off-the-shelf” data model templates that can be customized for different OEs. Ensure scalability and flexibility for diverse business domains.
• Data Product Development - Design curated datasets (data products) for specific analytical and operational use cases. Collaborate with business stakeholders to define requirements and ensure alignment with data governance.
• Architecture & Integration - Work closely with data engineers and solution architects to implement models in cloud/on-prem platforms. Ensure integration with existing data pipelines, ETL/ELT processes, and BI tools. 
• Governance & Standards - Establish metadata management, lineage tracking, and documentation standards. Promote data quality, consistency, and compliance across all OEs.

Required Skills

• Expertise in Data Vault 2.0 methodology and tools.
• Strong knowledge of dimensional modeling (Kimball) and normalized approaches (Inmon).
• Experience with data warehousing, data Lakehouse architectures, and cloud platforms (AWS, Azure, GCP).
• Proficiency in SQL, ETL/ELT tools, and metadata management.
• Familiarity with data governance frameworks and data product concepts. 

Ideal Client Profile for this role:

• 10-14 years in data architecture and modeling roles using market leading data modeling tools like Erwin or others.
• Proven track record in designing enterprise data models and implementing Data Vault solutions.
• Strong communication skills to bridge technical and business teams.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com. EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.