Data Architect - R01562180
About The Position
About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Data Architect Job requirements Role Summary We are looking for a Data Architect to partner with business stakeholders and lead the design of a scalable analytics and reporting platform on Azure. This role focuses on translating business KPIs into robust data models, enabling enterprise reporting, and building a future‑ready data foundation for digital and e‑commerce analytics.
Requirements
- Strong experience in data architecture, analytics modeling, and reporting systems.
- Hands‑on expertise with Azure data platforms (Azure SQL, Synapse, Fabric).
- Experience designing data ingestion frameworks and semantic layers.
- Solid understanding of digital and e‑commerce analytics.
- Strong stakeholder communication and technical leadership skills.
Nice To Haves
- Experience with large‑scale consumer or e‑commerce platforms
- Exposure to customer analytics or personalization platforms
Responsibilities
- Partner with stakeholders to shape the data and analytics roadmap.
- Translate business requirements and KPIs into technical data models and schemas.
- Define and implement the reporting and aggregation layer, ensuring separation from OLTP systems.
- Build scalable data models and computation layers using Azure SQL, Synapse, and Microsoft Fabric.
- Design and maintain a scalable ingestion framework for sources like Google Analytics, Algonomy, Bloomreach, Emarsys, and future data sources.
- Design the semantic layer to enable consistent and self‑service reporting.
- Implement observability, monitoring, and data quality across the platform.
- Build KPIs for app performance, user engagement, and e‑commerce funnel analytics.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
