Sr Data Platform Architect

General Electric; Seattle (WA); Remote; USD 110,000 - 185,000; Full time

Job summary

Join an innovative organization dedicated to solving complex challenges in aviation, energy, and environmental safety. As a Senior Data and Information Architect, you will spearhead the architecture of cutting-edge data solutions, empowering teams to harness analytics and machine learning effectively. This role offers the chance to work with advanced technologies like Dataiku DSS, AWS, and various data frameworks, ensuring a robust and secure data ecosystem. With a focus on collaboration and continuous improvement, you will play a pivotal role in shaping the future of data-driven decision-making. This is a unique opportunity to grow in a supportive environment while making a significant impact.

Benefits

Comprehensive health benefits

401(k) retirement plan

Tuition assistance

Parental leave

Discretionary bonuses

Qualifications

• 4+ years of professional experience in data architecture and engineering.
• 3+ years of experience in Dataiku administration.
• Experience in machine learning and data science concepts.

Responsibilities

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

Skills

Dataiku

Linux

SQL

Python

AWS

EKS

Spark

MLOps

IT process automation

Data architecture

Education

Bachelor’s degree in Computer Science or related field

Associate’s degree with 7 years of experience

High School Diploma with 9 years of experience

Tools

Dataiku DSS

AWS

Spotfire

Scikit-learn

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, high-performance ecosystem to foster innovation in analytics. Responsibilities include managing, optimizing, and scaling our Dataiku DSS, along with seamless deployment of machine learning models. Expertise in Dataiku administration, infrastructure management, automation, and operationalizing AI/ML models is required.

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 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 and distributed processing
• Experience automating manual processes
• Deep understanding of data architecture and engineering
• Knowledge of data science concepts and visualization tools
• Experience with IT process automation
• Ability to communicate technical concepts effectively to non-technical audiences

Qualifications/Requirements

- Bachelor’s degree with at least 4 years of professional experience, or an Associate’s degree with 7 years, or a High School Diploma with 9 years.

- Minimum 3 years of experience in Dataiku administration.

- Military experience is considered equivalent to professional experience.

Eligibility

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

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
• Knowledge of Scikit-learn, MLlib, H2O, R, PySpark, SparkR
• Understanding of infrastructure architecture
• Willingness to grow as a data professional

Pay Transparency

The salary range is $110,700 - $184,600 annually, influenced by experience and skills. Eligible for discretionary bonuses and commissions. Posting closes on 5/7/2025.

Benefits

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

Additional Information

GE Aerospace offers a supportive work environment and professional growth opportunities. We are an Equal Opportunity Employer. Employment is contingent upon legal work authorization and passing a drug screen. No relocation assistance is provided. This is a remote position.