The Sr. Data and Information Architect will be responsible for managing and maintaining the Dataiku DSS platform, ensuring smooth operations, security, and performance.Job Description
Essential Responsibilities:
The Sr. Data and Information Architect will be part of the Horizontal Family in the STE organization. In this role you will drive the architecture for both the Self-Service Data program and Analytic Invention program, looking to empower business users to create their own data and analytics projects and to create a comprehensive and performant ecosystem to drive the invention of new analytics. You will be responsible to manage, optimize, and scale our Dataiku DSS along with seamless machine learning model deployment. The role requires expertise in Dataiku administration, Infrastructure mgmt., automation, and operationalizing of AI/ML models as needed.
Responsibilities include, but not limited to Platform administration:
Installing, configuring, upgrading, and troubleshooting the DSS environment.Manage user access, permissions, and security settings.Performance monitoring & optimization - Monitoring system performance, logs, and resources including EKS memory usages.Automation & integration: Developing custom Python plugins, managing workflows. and integrating databases, cloud storages(S3), APIs, and external ML frameworks.Security & Compliance: Ensure the platform adheres to security and compliance policies as required by Cyber.Collaborating with Data scientists, engineers, and product teams to integrate ML solutions. Provide technical support and training to data scientists, analysts, and business users.Design and implement CI/CD pipelines for automated ML model deployments using Dataiku.Implement best practices for containerizations and MLOps practices.Technical Skills
Depth of experience with DataikuProficiency in Linux environments.Depth of knowledge in data lake conceptsStrong SQL skillsetStrong Python skillsetHands-on experience with AWSDepth of knowledge in AWS EKSDepth of knowledge of Spark and distributed processing executionDepth of knowledge in AWS and S3Experience automating manual processesDeep experience with information/data architectureDeep experience with data engineeringKnowledge about data science conceptsExperience with data visualization/WebappsExperience with IT process automation.Proven ability to teach technical concepts to those without a technical backgroundApproachable and able/willing to answer questions from users with a wide variety of backgrounds
Qualifications/Requirements :
Eligibility Requirement:
Desired Characteristics :
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No