Senior Data Architect - R01565908
Role details
Job location
Tech stack
Job description
- ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Requirements
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