Sr Data Platform Architect

General Electric; Boston (MA); Remote; USD 110,000 - 185,000; Full time

Job summary

An innovative company is seeking a Sr. Data and Information Architect to lead the Dataiku DSS platform, ensuring its security and performance. This role involves driving architecture for self-service data programs, enabling users to create analytics projects. You will oversee the deployment of machine learning models, manage user access, and collaborate with diverse teams to implement best practices in data architecture and automation. Join a forward-thinking organization that values professional growth and offers a remote work environment, making a significant impact in the data and analytics space.

Benefits

Comprehensive health benefits

Retirement plans

Tuition assistance

Professional growth opportunities

Qualifications

• 4+ years of experience in Dataiku administration.
• Strong background in data architecture and automation.

Responsibilities

• Manage and maintain the Dataiku DSS platform for optimal performance.
• Collaborate with teams to integrate machine learning solutions.

Skills

Dataiku

Linux

SQL

Python

AWS (EKS, S3)

Spark

MLOps

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

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 the Self-Service Data program and the 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 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 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, especially EKS and S3
• Experience with Spark and distributed processing
• Automation of manual processes and data architecture expertise
• Understanding of data science concepts and visualization/webapp development

**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 professional experience in Dataiku administration.

**Eligibility:**

Legal authorization to work in the U.S. is required; no visa sponsorship is provided.

**Desired Characteristics:**

• Degree 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 Range:**

The annual base salary ranges from $110,700 to $184,600, influenced by experience, education, and skills. The position may also include an annual bonus or commission. The posting closes on 5/7/2025.

**Benefits:**

Comprehensive health, retirement, tuition, and other benefits, with details available in the full benefits statement.

**Additional Information:**

GE Aerospace offers a supportive work environment with professional growth opportunities. We are an Equal Opportunity Employer. Employment is contingent upon legal authorization and passing a drug screen. Relocation assistance is not provided. This is a remote position.