Sr Data Platform Architect

General Electric; Minnetonka (MN); Remote; USD 110,000 - 185,000; Full time

Job summary

An innovative company is seeking a Sr. Data and Information Architect to drive the architecture for self-service data and analytics projects. This role focuses on managing the Dataiku DSS platform, ensuring smooth operations, security, and performance. You will collaborate with diverse teams to implement best practices in MLOps and CI/CD pipelines, empowering business users to harness the power of data. With comprehensive benefits and a commitment to professional growth, this position offers a unique opportunity to make a significant impact in the data analytics landscape while working remotely.

Benefits

Comprehensive healthcare

Retirement plans

Tuition assistance

Paid parental leave

Disability insurance

Paid time off

Qualifications

• 4+ years of experience in data architecture and engineering.
• Expertise in managing Dataiku DSS platform and deploying ML models.

Responsibilities

• Manage and optimize Dataiku DSS environment and ensure security.
• Collaborate with teams to integrate ML solutions and provide training.

Skills

Dataiku

Python

SQL

AWS

Linux

Data architecture

MLOps

Data visualization

Education

Bachelor's in Computer Science

Associate's degree with 7 years experience

High School Diploma with 9 years experience

Tools

AWS EKS

Spotfire

Scikit-learn

Spark

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 to develop a comprehensive and performant ecosystem to foster new analytics innovations. You will be responsible for managing, optimizing, and scaling our Dataiku DSS environment, including seamless deployment of machine learning models. The role requires expertise in Dataiku administration, infrastructure management, automation, and operationalizing AI/ML models.

Responsibilities include, but are not limited to, platform administration:

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 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 and AWS EKS
• Knowledge of Spark, distributed processing, and S3
• Experience automating manual processes
• Deep expertise in data architecture and engineering
• Understanding of data science concepts
• Experience with data visualization and web applications
• IT process automation skills
• Ability to teach complex technical concepts to non-technical audiences

Qualifications/Requirements

Bachelor’s degree from an accredited university or college with at least 4 years of professional experience, or an Associate’s degree with at least 7 years, or a High School Diploma with at least 9 years of experience. Military experience is considered equivalent.

Eligibility Requirement

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

Desired Characteristics

• Bachelor's in Computer Science, IT, or related STEM field
• 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 and technical competencies

Pay Transparency

The salary range is $110,700 to $184,600 annually, influenced by experience, education, and skills. The role is eligible for annual bonuses or commissions. The posting closes on 5/7/2025.

Benefits

Comprehensive healthcare, retirement plans, tuition and adoption assistance, paid parental leave, disability and life insurance, paid time off, and more, supporting health and wellbeing.

Additional Information

GE Aerospace offers a supportive work environment with professional growth opportunities. We are an Equal Opportunity Employer, committed to diversity and inclusion. Employment is contingent upon legal work authorization and successful drug screening. No relocation assistance is provided. This is a remote position.