JOB SUMMARY

The Platform Architect is a key team member shaping and supporting the enterprise data & machine learning platform. This self-driven individual collaborates within a federated team environment, advising on best architectural practices, balancing individual use cases with overall enterprise principles. The ideal candidate possesses a background in computer science, DevOps, MLOps, CI/CD, and platform automation.

ESSENTIAL FUNCTIONS

• Lead creation and evolution of the data & ML platform.
• Develop a solutions roadmap for strategic objectives.
• Balance individual needs with enterprise architectural principles.
• Ensure non-overlapping platforms and tools.
• Provide guidance on tradeoffs between speed and technical debt.
• Monitor and recommend new technologies for architectural enhancement.
• Design procedures for reviewing and integrating new components.
• Build and maintain a core data platform for ease of use.
• Ensure responsible data handling and adherence to privacy practices.
• Formulate solution plans and guide automated delivery pipelines.
• Conduct tool analysis, implement automation frameworks.
• Hands-on prototyping of tools, libraries, and frameworks.
• Evaluate and improve developer productivity and automation techniques.
• Ensure fault-tolerant, highly available Data/ML platform.

QUALIFICATIONS

• Bachelor’s degree in computer science with 8+ years of experience.
• Technical expertise in AI, modern data architectures, microservices, cloud-native design, and relevant platforms.
• Experience with Databricks or similar tools, AWS or Azure, CI/CD pipelines, containerization technologies, SQL databases, and API management platforms.
• Strong knowledge of Agile Methodologies.
• Excellent communication, negotiation, and collaboration skills.
• Ability to manage complexity and drive results in a fast-paced environment.
• Certifications in Application Development, agile methods, machine learning, and relevant data platforms are advantageous.