Sr Data Platform Architect

General Electric; Omaha (NE); Remote; USD 110,000 - 185,000; Full time

Job summary

An innovative firm is seeking a Sr. Data and Information Architect to manage the Dataiku DSS platform. This role involves ensuring smooth operations, security, and performance while empowering business users to create their own data and analytics projects. You'll drive architecture for self-service data programs and foster innovation in analytics. With a focus on automation and operationalizing AI/ML models, this position offers a chance to work in a dynamic environment that values professional growth and collaboration. If you're passionate about data and looking to make an impact, this is the opportunity for you.

Benefits

Comprehensive health programs

401(k) with company match

Tuition assistance

Paid parental leave

Disability insurance

Life insurance

Paid time off

Qualifications

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

Responsibilities

• Manage and optimize Dataiku DSS environment for seamless ML model deployment.
• Collaborate with teams to integrate ML solutions and provide technical support.

Skills

Dataiku

Linux

SQL

Python

AWS

EKS

Spark

MLOps

Education

Bachelor's degree in STEM

Associate degree

High school diploma

Tools

Dataiku DSS

AWS EKS

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, high-performance ecosystem to foster innovation in analytics. 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.

Platform Administration Responsibilities:

1. Installing, configuring, upgrading, and troubleshooting the Dataiku DSS environment.
2. Managing user access, permissions, and security settings.
3. Monitoring system performance, logs, and resources, including EKS memory usage.
4. Developing automation and integrations, such as custom Python plugins, workflows, and connecting 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, and 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 and AWS EKS
• Knowledge of Spark and distributed processing
• Experience automating manual processes
• Deep understanding of data architecture and engineering
• Knowledge of data science concepts and visualization/web app development
• Experience with IT process automation and teaching technical concepts to non-technical users

Qualifications/Requirements:

Bachelor’s degree from an accredited university with at least 4 years of professional experience, or an associate degree with 7 years, or a high school diploma with 9 years of experience. 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 collaborate across diverse backgrounds
• Experience with Spotfire, data applications, data science, and machine learning libraries such as Scikit-learn, MLlib, H2O
• Knowledge of R, PySpark, SparkR, and infrastructure architecture
• Demonstrated technical expertise and teamwork skills
• Interest in professional growth in data sciences

Pay Transparency:

The annual base salary ranges from $110,700 to $184,600, influenced by experience, education, and skills. The role may include bonuses or commissions. The posting closes on 5/7/2025.

Benefits:

Comprehensive health, retirement, and wellness programs, including medical, dental, vision, 401(k) with company match, tuition and adoption assistance, paid parental leave, disability and life insurance, and paid time off.

Additional Information:

GE Aerospace offers a positive work environment, career development, and competitive pay. We are an Equal Opportunity Employer, committed to diversity and inclusion. Employment is contingent upon legal authorization and passing a drug screening. This is a remote position with no relocation assistance provided.