Lead Consultant - Data Governance Platform Engineer

Job Description

Platform Management: Support and oversee the administration and maintenance of data platforms, ensuring they are reliable, scalable, and meet organizational performance requirements. System Integration: Manage the integration of data platforms with other enterprise systems, ensuring seamless data flow and interoperability. Data Management: Oversee the configuration and management of data catalogs, ensuring that data assets are organized, accessible, and maintained according to best practices. Data Quality & Observability: Implement and lead tools and processes to monitor and enhance data quality and observability, ensuring data integrity and availability. Technical Expertise: Provide technical leadership and oversight for platform-related projects, guiding the selection and implementation of appropriate technologies. Innovation and Trends: Stay informed about the latest trends in data platform technologies and incorporate relevant advancements to enhance capabilities and efficiency. Collaboration and Alignment: Work closely with the Data Management and Governance Specialist to align platform capabilities with data governance policies and business objectives. Vendor Management: Coordinate with vendors and service providers to ensure that platform needs are adequately met and that service level agreements are maintained. Vision and Roadmap: Develop and execute a strategic vision and roadmap for the evolution of data platforms, incorporating feedback from stakeholders and aligning with company goals. Project Delivery: Lead the management of platform-related projects from inception to completion, ensuring objectives are met on time and within budget. Essential Skills/Experience Proven experience in managing data platforms and related technologies. Ideally Data catalogue and Data Quality Platforms Strong understanding of data platform architecture and integration. Demonstrated experience with vendor management and negotiations. Excellent problem-solving and analytical skills. Ability to stay updated with technological advancements in data platforms. Strong organizational and leadership skills.