Sr Data Platform Architect

General Electric; Fort Worth (TX); Remote; USD 110,000 - 185,000; Full time

Job summary

Join a forward-thinking company as a Sr. Data Platform Architect, where you will lead the architecture for innovative data solutions. In this remote role, you will empower business users to create their own analytics projects while managing a high-performance Dataiku environment. Your expertise in data architecture, machine learning, and cloud technologies will be crucial in optimizing and scaling the platform. Collaborate with diverse teams to ensure seamless integration of ML solutions and drive analytics innovation. This position offers a competitive salary and comprehensive benefits in a dynamic work environment.

Benefits

Comprehensive health benefits

Retirement plans

Tuition assistance

Professional growth opportunities

Qualifications

• 4+ years of experience in data architecture and engineering.
• 3+ years of experience in Dataiku administration.

Responsibilities

• Drive architecture for Self-Service Data and Analytic Invention programs.
• Manage and optimize Dataiku DSS platform for ML model deployment.

Skills

Dataiku

Linux

SQL

Python

AWS

Spark

Data Architecture

Data Engineering

MLOps

Data Visualization

Education

Bachelor's degree in STEM

Associate degree

High School Diploma

Tools

Dataiku DSS

AWS S3

Spotfire

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.

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 building a comprehensive, high-performance ecosystem to foster analytics innovation. You will manage, optimize, and scale our Dataiku DSS platform, ensuring 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 and optimizing 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 deployment 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, including EKS and S3
• Knowledge of Spark and distributed processing
• Experience automating manual processes
• Deep expertise in data architecture and data engineering
• Understanding of data science concepts
• Experience with data visualization and web applications
• Knowledge of IT process automation
• Ability to communicate 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.

Eligibility:

Legal authorization to work in the U.S. is required. We do not sponsor visas.

Desired Characteristics:

• Bachelor's in STEM fields preferred.
• Ability to work well with diverse backgrounds.
• Experience with Spotfire, data applications, data science, and machine learning.
• Knowledge of libraries like Scikit-learn, MLlib, H2O, R, PySpark, SparkR.
• Interest in growing as a data professional.

Pay Transparency:

The salary range is $110,700 - $184,600 annually, plus potential bonuses. The offer depends on experience, education, and skills. Posting closes on 05/07/2025.

Benefits:

Comprehensive health, retirement, tuition, and other benefits are offered. Details are available in the full benefits description.

Additional Information:

GE Aerospace promotes a great work environment and professional growth. We are an Equal Opportunity Employer and do not discriminate based on protected characteristics. Employment is contingent upon legal work authorization and passing a drug screen. No relocation assistance is provided. This is a remote position.