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# Senior Data Architect - R01565908

- **Company:** Brillio
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, DevOps, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Meta-Data Management, Performance Tuning, Role-Based Access Control, Cloud Services, SQL Stored Procedures, PL-SQL, SQL Databases, Transact-SQL, Enterprise Application Integration, Enterprise Software Applications, Apache Spark, Data Lakes, Pyspark, Deployment Automation, Data Management, Terraform, Databricks
- **Published:** May 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c6ac7aba73aa7703

## About the Role

Do you have experience in Terraform?, * ob Title: Databricks Architect Role 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

## Description

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


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