Sr Data Platform Architect

General Electric; Detroit (MI); 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 architecture of innovative data solutions. In this remote role, you will manage the Dataiku DSS platform, ensuring seamless operations while empowering business users to harness data for analytics projects. Your expertise in data architecture, automation, and machine learning will drive the creation of a high-performance ecosystem. This role offers a dynamic environment where your contributions will significantly impact data-driven decision-making processes. If you are passionate about leveraging data to solve complex challenges, this opportunity is perfect for you.

Benefits

Comprehensive health insurance

Retirement plans

Tuition assistance

Parental leave

Disability insurance

Life insurance

Paid time off

Qualifications

• 4+ years of experience in Dataiku administration.
• Experience in managing and optimizing data platforms.
• Strong collaboration skills across diverse teams.

Responsibilities

• Manage and maintain the Dataiku DSS platform for optimal performance.
• Develop custom Python plugins and automate workflows.
• Collaborate with data scientists to integrate ML solutions.

Skills

Dataiku

Linux

SQL

Python

AWS

EKS

Spark

Data Architecture

MLOps

IT Process Automation

Education

Bachelor's in Computer Science

Associate Degree

High School Diploma

Tools

Dataiku DSS

AWS S3

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 new analytics innovations. You will manage, optimize, and scale our Dataiku DSS platform, 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. Platform administration: Installing, configuring, upgrading, troubleshooting the DSS environment.
2. Manage user access, permissions, and security settings.
3. Performance monitoring and optimization: Monitoring system performance, logs, and resources, including EKS memory usage.
4. Automation and integration: Developing custom Python plugins, managing workflows, and integrating databases, cloud storage (S3), APIs, and external ML frameworks.
5. Security and compliance: Ensuring the platform adheres to security and compliance 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 data storage solutions like S3
• Experience automating manual processes
• Deep understanding of data architecture and data engineering
• Knowledge of data science concepts, visualization, and web applications
• 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 degree with at least 7 years, or a High School Diploma with at least 9 years of experience
• Minimum 3 years of professional experience in Dataiku administration

**Eligibility:**

• Legal authorization to work in the U.S. required; no sponsorship available.

**Desired Characteristics:**

• Bachelor’s in Computer Science, IT, or related STEM field
• Strong collaboration skills across diverse teams
• Experience with Spotfire, data applications, data science, and machine learning libraries (Scikit-learn, MLlib, H2O)
• Knowledge of R, PySpark, SparkR
• Understanding of infrastructure architecture and technical competencies

**Pay Range:** $110,700 - $184,600 USD annually, with potential bonuses. Posting closes on 5/7/2025.

**Benefits:** Comprehensive health, retirement, tuition, parental leave, disability, life insurance, and paid time off.

**Additional Info:** 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 authorization and successful drug screening.

**Relocation Assistance:** Not provided

#LI-Remote - This is a remote position