Job description

Title: Azure Databricks Solution Architect Location: Seattle,WA(Onsite) Duration: Contract Job Description Strong solution architect with experience in end-to-end solution on databricks across Azure and have implemented Lakehouse strategies, data pipeline governance. Designed and implemented security solutions and best practices. Hands on experience in providing scalable solution leveraging the complete databricks medallion architecture and technology stack including Delta lake , Unity catalog , ML flow and Databricks SQL. Has experience in implementation of Unity catalog for centralized governance , lineage and data discovery Develop and monitor effective solutions to optimize sizing, autoscaling and cost. Responsible to provide technical guidance and direction in defining the data architecture strategy Hands on experience on Azure cloud IaaS, PaaS Architect, Design, engineering & solid understanding of native Cloud architecture/On-Prem networking Experience in migrating On-premises database to Azure SQL Database, SQL Managed instance, SQL Elastic pool on Azure & SQL server in Azure VM. Proficient in Python coding and frameworks knowledge. Responsibilities Configure Databricks Cluster, and Unity Catalog repository. Responsible for Solutioning, Administration, Configuration, and Optimization of Azure Databricks platform. Build large-scale batch and real-time data pipelines with data processing frameworks with Databricks technology in Azure cloud platform. Landing zone architecture for Databricks: accounts, workspaces, UC metastore(s), external locations, storage hierarchy, and networking. Security & compliance design (e.g., PII/PHI handling, audit, retention) aligned to enterprise and regulatory needs. Sizing & capacity recommendations (clusters, pools, serverless/DBR runtimes, model serving). Data protection: storage firewalling, encryption at rest/in transit, token lifecycles, PAT policy. Cluster policies (standardized node families, autoscaling, spot/preemptible usage policy), pools, serverless enablement (where applicable). Job orchestration (baseline): Jobs UI or DLT pipelines seed examples; scheduler conventions

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