Lead Consultant - Data Governance Platform Engineer

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.