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<html><body><p>We are seeking a highly skilled and strategic Technical Data Platform Manager to lead and support a dynamic team of data professionals, including Databricks Architects, Platform Administrators, and specialists in Azure SQL, Azure Data Factory (ADF), and Control-M. This role is pivotal in driving the design, implementation, and optimization of our enterprise data platform, ensuring high performance, scalability, and reliability across our data ecosystem. Key Responsibilities Team Leadership & Management Lead, mentor, and manage a cross-functional team of data engineers, architects, and platform admins. Foster a culture of collaboration, innovation, and continuous improvement. Define team goals, KPIs, and performance metrics aligned with organizational objectives. Platform Strategy & Governance Own the end-to-end technical strategy for the data platform, ensuring alignment with business needs. Oversee governance, security, and compliance standards across all data platform components. Collaborate with enterprise architects and data governance teams to enforce best practices. Technical Oversight Provide architectural guidance and hands-on support for Databricks-based data engineering and analytics solutions. Ensure optimal configuration and performance of Azure SQL databases and ADF pipelines. Manage Control-M scheduling and orchestration for data workflows and batch processes. Lead platform upgrades, patching, and incident resolution in collaboration with IT and DevOps. Project Delivery & Stakeholder Engagement Partner with product owners, data scientists, and business stakeholders to deliver scalable data solutions. Translate business requirements into technical specifications and delivery roadmaps. Manage vendor relationships and licensing for platform tools and services. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 10+ years of experience in data engineering, platform management, or related roles. 5+ years in a leadership or managerial capacity overseeing technical teams. Deep expertise in:  Databricks (architecture, performance tuning, security) Azure SQL (design, optimization, monitoring) Azure Data Factory (pipeline orchestration, data integration) Control-M (job scheduling, automation) Strong understanding of cloud data architectures, especially within the Azure ecosystem. Excellent communication, stakeholder management, and problem-solving skills. Preferred Qualifications Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect). Experience with CI/CD pipelines and DevOps practices in data environments. Familiarity with data governance frameworks and tools (e.g., Purview, Collibra). #LI-KS1</p></body></html>

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