Sr Data Platform Architect

Job Description SummaryThe Data and Infrastructure organization helps solve our customers' toughest challenges, making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics.
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 Platform 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 Dataiku
• Proficiency in Linux environments.
• Depth of knowledge in data lake concepts
• Strong SQL skillset
• Strong Python skillset
• Hands-on experience with AWS
• Depth of knowledge in AWS EKS
• Depth of knowledge of Spark and distributed processing execution
• Depth of knowledge in AWS and S3
• Experience automating manual processes
• Deep experience with information/data architecture
• Deep experience with data engineering
• Knowledge about data science concepts
• Experience with data visualization/Webapps
• Experience with IT process automation.
• Proven ability to teach technical concepts to those without a technical background
• Approachable and able/willing to answer questions from users with a wide variety of backgrounds

Qualifications/Requirements :

• Bachelor’s degree from accredited university or college with minimum of 4 years of professional experience OR Associates degree with minimum of 7 years of professional experience OR High School Diploma with minimum of 9 years of professional experience
• Minimum 3 years of professional experience in Dataiku administration.
• Note: Military experience is equivalent to professional experience

 
Eligibility Requirement:

• Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job.  

Desired Characteristics :

• Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM)
• Demonstrated ability to work well with others from many different backgrounds and skill levels
• Experience and understanding of Spotfire
• Experience with managing data applications
• Experience with using data science/statistics
• Experience with machine learning concepts
• Knowledge of the Scikit-learn, MLlib, and H2O libraries
• Knowledge of R
• Knowledge of PySpark
• Knowledge of SparkR
• Knowledge of infrastructure architecture
• Demonstrated experience in the role's technical competencies
• Demonstrated ability to work well with others from many different backgrounds and skill levels
• An interest to grow as a data professional and learn the desired characteristics if not already present

Pay Transparency:

The base pay range for this position is 110,700.00-184,600.00 USD Annual. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on 5/7/2025.​

Benefit Insert​

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. ​

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

Additional Information

#LI-Remote - This is a remote position