Senior Cloud Data Architect

hace 4 semanas


Santiago de Querétaro, Querétaro de Arteaga, México Kellanova A tiempo completo

Cloud Data Architect Role

At Kellanova, we're seeking a skilled Senior Cloud Data Architect to design, build, and maintain our cloud platforms for data and analytics technologies. This role requires strategic thinking to align with our business objectives and technology strategy, ensuring our data and analytics cloud technology footprint evolves and adapts.

Key Responsibilities

  • Cloud Platform Strategy and Roadmap: Develop a comprehensive plan that outlines the strategic direction and milestones for our cloud-based data and analytics initiatives, ensuring alignment with business goals and technological advancements.
  • Cloud Architecture and Implementation: Design and implement the cloud architecture, components, and technologies required to deliver best-in-class data and analytical capabilities, creating and deploying a robust cloud infrastructure that supports advanced data analytics, scalability, reliability, and performance.
  • Data Security and Integration: Define and implement data security measures, including data access controls, encryption, and data masking, focusing on safeguarding data through stringent security protocols, and designing architecture and integration patterns to ensure smooth, efficient, and secure data flows across platforms with optimal performance, storage, and cost efficiency.
  • Collaboration and Stakeholder Engagement: Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and enable our cloud architecture accordingly, partnering with IT security and data governance to ensure cohesive and secure data management practices.

Requirements

  • Minimum 10 years' experience in designing, implementing, and integrating data, analytics, and cloud technology components, with at least 5 years leading cloud platforms architecture/engineering.
  • Bachelor's degree in Computer Science, Engineering, or related fields.
  • Strong knowledge of cloud data platform technologies, including data ingestion, storage, processing, sharing, consumption, and analytics.
  • Proficiency in data warehouse design, analytics technology integrations, and cloud platforms like AWS and Azure.
  • Proficient in big data technologies such as Hadoop, Spark, and distributed storage systems.
  • Familiarity with data governance, security, privacy regulations (e.g., GDPR, CCPA), and CI/CD, DevOps, and MLOps development processes.
  • Strong leadership skills to build business cases, secure resources, and design strategic recommendations for future architecture improvements.


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