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Senior Cloud Data Architect

hace 2 meses


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

Cloud Data Architect Role

We are seeking a highly skilled Cloud Data Architect to lead the design and implementation of our cloud-based data and analytics platforms. As a key member of our IT team, you will be responsible for creating a comprehensive cloud platform strategy and roadmap that aligns with our business objectives and technology strategy.

Key Responsibilities

  • Cloud Platform Strategy and Roadmap - Develop a strategic plan that outlines the 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, ensuring scalability, reliability, and performance.
  • Data Security and Integration - Define and implement data security measures, including data access controls, encryption, and data masking, to safeguard data through stringent security protocols.
  • 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.

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.