Architect - R01566974 at Brillio in Princeton, NJ

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.

Architect

Primary Skills

• ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

• Databricks Engineering: Data Architect

Job requirements

• Job Title: Databricks Architect Role

• Location: Princeton, NJ

• Work Type: 3 days onsite per week

• Overview:

• We are looking for a highly skilled Databricks Architect to lead the design, implementation, and governance of enterprise-scale data platforms.

• The role requires deep expertise in Databricks architecture, data engineering, Unity Catalog (UC), governance, security, performance optimization, and cloud-native data solutions.

• Key Responsibilities:

• Design scalable and secure Databricks Lakehouse architectures

• Lead implementation of data engineering, ingestion, transformation, and analytics frameworks

• Define enterprise data governance and security standards using Unity Catalog (UC)

• Architect CI/CD, DevOps, monitoring, and automation for Databricks environments

• Optimize Spark workloads, cluster utilization, and platform cost efficiency

• Collaborate with business, security, infrastructure, and data teams on enterprise data initiatives

• Design data integration patterns across cloud, APIs, MDM, and enterprise systems

• Support migration and modernization from legacy data platforms to Databricks

• Establish best practices for performance, scalability, governance, and operational excellence

• Required Skills:

• Strong hands-on expertise in Databricks platform architecture

• Experience with Unity Catalog (UC), RBAC, access management, and governance frameworks

• Deep knowledge of Spark, Delta Lake, PySpark, SQL, and distributed data processing

• Experience with Azure Databricks / AWS Databricks environments

• Strong understanding of cloud architecture, networking, and security controls

• Experience with CI/CD, Terraform, DevOps automation, and infrastructure-as-code

• Knowledge of enterprise data governance, metadata management, and compliance standards

• Familiarity with Microsoft Purview, MDM platforms, and enterprise integration patterns is preferred

• Preferred Experience:

• Experience in large-scale enterprise transformation programs

• Exposure to AI/ML enablement within Databricks ecosystem

• Strong stakeholder management and architecture governance experience

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