Manager - IT
4 days ago
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).
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