> Markdown version of [/jobs/ext/4613100-team-lead-solution-architect-databricks-azure-migration](https://www.wearedevelopers.com/jobs/ext/4613100-team-lead-solution-architect-databricks-azure-migration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Team Lead / Solution Architect - (Databricks & Azure Migration) - **Company:** CELEBAL TECHNOLOGIES AMERICAS, INC. - **Location:** Walker, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Cloud Database, Software Code Optimization, Information Engineering, Data Governance, Data Migration, Data Warehousing, Apache Hive, Performance Tuning, Cloud Services, Migration Manager, Azure Data Lake, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Legacy Systems, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.thejobnetwork.com/job/f300b453-701d-4631-a34f-3f109ad289b9/team-lead-solution-architect-databricks-azure-migration ## About the Role * Experience: 8-15 years of proven IT experience with a heavy focus on data warehousing, big data, and cloud environments. \n * Core Core Tech Stack: Advanced expertise in Azure Databricks, Delta Lake, Apache Spark, and cloud data architecture. \n * Migration Track Record: Hands-on experience architecting and driving legacy-to-cloud data warehouse modernization projects. \n * Cloud Ecosystem: Deep proficiency with Azure cloud services (ADLS Gen2, Azure Data Factory, Azure DevOps). ## Description n \n * Architecture & Design: Architect, design, and implement end-to-end data migration pipelines from legacy systems to Azure Databricks and Delta Lake. \n * Technical Leadership: Lead, mentor, and provide technical governance to a team of data engineers, ensuring best practices in PySpark, Spark SQL, and Azure cloud infrastructure. \n * Migration Strategy: Collaborate with business stakeholders and project managers to convert complex legacy data models into optimized cloud-native formats. \n * Performance Optimization: Troubleshoot and resolve complex data engineering bottlenecks, including Spark tuning, memory optimization, and data governance frameworks. \n * Compliance & Governance: Ensure all cloud data architectures meet strict enterprise data security, quality, and compliance standards. \n