Sr Data Platform Architect

General Electric; Baltimore (MD); Remote; USD 110,000 - 185,000; Full time

Job summary

Join a forward-thinking company as a Sr. Data and Information Architect, where you'll manage the Dataiku DSS platform and drive innovative data solutions. In this role, you'll empower business users to harness data analytics, ensuring seamless operations and robust security. Collaborate with diverse teams to integrate machine learning models and develop CI/CD pipelines, all while enhancing your technical skills in a supportive environment. This is an exciting opportunity to contribute to impactful projects that make a difference in various industries, from aviation to energy.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Tuition Assistance

Paid Parental Leave

Disability Insurance

Life Insurance

Paid Time Off

Qualifications

• 4+ years of experience in Dataiku administration.
• Strong background in data architecture and engineering.
• Experience in deploying machine learning models.

Responsibilities

• Manage and maintain the Dataiku DSS platform for optimal performance.
• Collaborate with teams to integrate machine learning solutions.
• Design CI/CD pipelines for automated ML model deployments.

Skills

Dataiku

Python

SQL

AWS

Linux

Machine Learning

Data Architecture

Data Visualization

IT Process Automation

Education

Bachelor's degree in Computer Science or IT

Associate degree with 7 years of experience

High school diploma with 9 years of experience

Tools

AWS EKS

Spotfire

Scikit-learn

H2O

PySpark

Job description

Job Description Summary

The 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, empowering business users to create their own data and analytics projects, and creating a comprehensive and performant ecosystem to foster new analytics invention. You will manage, optimize, and scale our Dataiku DSS platform and oversee seamless machine learning model deployment. The role requires expertise in Dataiku administration, infrastructure management, automation, and operationalizing AI/ML models.

Responsibilities include, but are not limited to:

1. Installing, configuring, upgrading, and troubleshooting the DSS environment.
2. Managing user access, permissions, and security settings.
3. Monitoring system performance, logs, and resources, including EKS memory usage.
4. Developing custom Python plugins, managing workflows, and integrating databases, cloud storage (S3), APIs, and external ML frameworks.
5. Ensuring platform security and compliance with Cyber policies.
6. Collaborating with data scientists, engineers, and product teams to integrate ML solutions, providing technical support and training.
7. Designing and implementing CI/CD pipelines for automated ML model deployments using Dataiku.
8. Implementing best practices for containerization and MLOps.

Technical Skills

• Extensive experience with Dataiku
• Proficiency in Linux environments
• Knowledge of data lake concepts
• Strong SQL and Python skills
• Hands-on experience with AWS and AWS EKS
• Knowledge of Spark, distributed processing, and S3
• Automation of manual processes
• Deep experience with data architecture and engineering
• Understanding of data science concepts
• Experience with data visualization and web applications
• IT process automation skills
• Ability to convey technical concepts to non-technical audiences

Qualifications/Requirements

• Bachelor’s degree with at least 4 years of professional experience, or an associate degree with 7 years, or a high school diploma with 9 years
• Minimum 3 years of professional experience in Dataiku administration
• Military experience is considered equivalent to professional experience

Eligibility Requirements

Legal authorization to work in the U.S. is required. We will not sponsor visas for this position.

Desired Characteristics

• Bachelor's in Computer Science, IT, or related fields
• Ability to work well with diverse teams
• Experience with Spotfire, data applications, data science, and machine learning concepts
• Knowledge of Scikit-learn, MLlib, H2O, R, PySpark, SparkR
• Understanding of infrastructure architecture
• Strong technical competencies and a desire to grow professionally

Pay Transparency

The annual base salary range is $110,700 - $184,600, influenced by experience, education, and skills. The position may also include bonuses or commissions. The posting closes on 5/7/2025.

Benefits

GE Aerospace offers comprehensive health, retirement, and other benefits, including medical, dental, vision, 401(k), tuition and adoption assistance, paid parental leave, disability, life insurance, and paid time off.

Additional Information

GE Aerospace promotes a great work environment and professional development. We are an Equal Opportunity Employer. Employment is contingent upon a successful drug screening. Only authorized individuals in the U.S. will be considered. Relocation assistance is not provided. This is a remote position.