Senior Data Architect - R01565908

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{
  "lists": [
    {
      "text": "Primary Skills",
      "content": "\n<li>ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures</li>\n"
    },
    {
      "text": "Specialization",
      "content": "\n<li>Databricks Engineering: Data Architect</li>\n"
    },
    {
      "text": "Job requirements",
      "content": "\n<li>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</li>\n"
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  "country": "US",
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