Cisco Principal Data Engineer 

United States, Georgia, Atlanta 

38017265

Develop and execute strategic roadmaps, ensuring alignment with organizational goals and driving organizational innovation.

Lead and mentor engineering teams, providing direction and guidance to drive high performance and continuous improvement.

Collaborate with senior leadership to align data engineering efforts with business objectives that support and improve overall company strategy.

Architect and coordinate the implementation of scalable, reliable, and high-performance data systems, including cloud-based data lakes, data pipelines, and real-time data processing platforms.

Ensure data infrastructure supports advanced analytics, machine learning, and AI initiatives, solid foundation for data-driven decision-making.

Drive the standardization and automation of processes, enhancing operational efficiency and reducing time to market for data products and services.

Implement robust data governance, compliance, and security practices, ensuring that all data assets are run and used in accordance with organizational policies and regulatory requirements.

Optimize resource utilization and cost-efficiency within the data infrastructure, balancing the need for performance with financial sustainability.

Stay ahead of industry trends and emerging technologies, to apply at Cisco and drive competitive advantage and business value.

Lead initiatives to enhance data accessibility, connectivity, and, empowering teams to use data for innovation and strategic decision-making.

Work closely with product, analytics, and IT teams to ensure seamless integration of data engineering solutions with broader business initiatives.

Promote data literacy and self-service across the organization, enabling teams to independently access and use data to drive their initiatives.

Bachelor’s degree in computer science, engineering, or equivalent experience

8+ years of extensive validated experience in data engineering, with a solid focus on cloud environments, modern data architectures, and Big Data technologies.

Experience in a leadership role with a record of accomplishment of designing, building, and leading scalable data and Infrastructure solutions.

Prior experience leading multi-discipline teams in transformation from legacy data eco systems to cloud

Prior experience working in global company size over $10B USD across different timezones

Data Domains Engineering teams

Platform Engineering teams