Sr Data Platform Architect

General Electric; Montpelier (VT); Remote; USD 110,000 - 185,000; Full time

Job summary

An established industry player is seeking a Sr. Data and Information Architect to lead the Dataiku DSS platform. This exciting role involves managing user access, optimizing system performance, and deploying machine learning models. You will collaborate with diverse teams to foster analytics innovations and ensure compliance with cybersecurity policies. Join a dynamic work environment that values professional development and offers comprehensive benefits. If you have a passion for data and analytics, this remote position is an excellent opportunity to make a significant impact.

Benefits

Comprehensive health insurance

401(k) retirement plan

Tuition assistance

Parental leave

Disability insurance

Life insurance

Qualifications

• 4+ years of experience in data architecture and management.
• Proficient in Python and SQL with a focus on data solutions.

Responsibilities

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

Skills

Dataiku

Linux

SQL

Python

AWS (EKS, S3)

Spark

MLOps

Education

Bachelor's degree in STEM

Associate's degree

High school diploma

Tools

Dataiku DSS

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.

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 building a comprehensive ecosystem to foster new analytics innovations. You will manage, optimize, and scale 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:

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 cybersecurity 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. Applying 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, especially EKS and S3
• Experience with Spark and distributed processing
• Automation of manual processes and data architecture expertise
• Knowledge of data science concepts and visualization/web app development
• Ability to teach technical concepts to non-technical audiences

Qualifications/Requirements

Bachelor’s degree with a minimum of 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 Requirements

Must be legally authorized to work in the U.S. without sponsorship.

Desired Characteristics

• Bachelor’s in STEM fields preferred
• Strong collaboration skills across diverse backgrounds
• Experience with Spotfire, data applications, and data science/statistics
• Knowledge of machine learning libraries and frameworks like Scikit-learn, MLlib, H2O, R, PySpark, SparkR
• Understanding of infrastructure architecture and technical competencies
• Interest in professional growth in data science and analytics

Pay Transparency

The salary range is $110,700 - $184,600 annually, influenced by experience, education, and skills. The position may include a discretionary annual bonus. The posting closes on 5/7/2025.

Benefits

Comprehensive health, retirement, and other benefits, including medical, dental, vision, 401(k), tuition assistance, parental leave, disability, and life insurance.

Additional Information

GE Aerospace offers a dynamic work environment with professional development opportunities. We are an Equal Opportunity Employer. Employment is contingent upon legal authorization and successful drug screening. Relocation assistance is not provided. This is a remote position.