Sr Data Platform Architect

General Electric; Greenville (SC); 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 management. This exciting role involves optimizing data operations, ensuring security, and fostering a high-performance analytics ecosystem. You will collaborate with diverse teams to deploy machine learning models and drive data-driven decision-making. If you're passionate about data architecture and eager to contribute to impactful projects, this position offers a unique opportunity to grow in a dynamic environment while enjoying competitive pay and comprehensive benefits.

Benefits

Comprehensive health insurance

Retirement plans

Tuition reimbursement

Parental leave

Paid time off

Life insurance

Disability insurance

Qualifications

• 4+ years of experience in data architecture and engineering.
• 3+ years of Dataiku administration experience.
• Ability to teach technical concepts to non-technical audiences.

Responsibilities

• Manage and optimize the Dataiku DSS platform for performance and security.
• Develop automation and integrations for machine learning deployments.
• Collaborate with teams to integrate ML solutions and provide support.

Skills

Dataiku

Linux

SQL

Python

AWS

Spark

Data Architecture

Data Engineering

Data Visualization

MLOps

Education

Bachelor's degree in Computer Science or related field

Associate degree with 7 years of experience

High school diploma with 9 years of experience

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 creating a comprehensive, high-performance ecosystem to foster new analytics inventions. 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, platform administration:**

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 automation and integrations, such as custom Python plugins, workflows, database connections, cloud storage (S3), APIs, and external ML frameworks.
5. Ensuring 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 and AWS EKS
• Knowledge of Spark, distributed processing, and S3
• Experience automating manual processes
• Deep expertise in data architecture and data engineering
• Understanding of data science concepts
• Experience with data visualization and web applications
• Knowledge of IT process automation
• Ability to teach technical concepts to non-technical audiences

**Qualifications/Requirements:**

• Bachelor’s degree with at least 4 years of professional experience, or an associate degree with 7 years, or a high school diploma with 9 years.
• Minimum 3 years of professional experience in Dataiku administration.
• Military experience is considered equivalent.

**Eligibility:**

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

**Desired Characteristics:**

• Bachelor’s in Computer Science, IT, or related STEM field.
• Ability to work well with diverse teams and backgrounds.
• Experience with Spotfire, data applications, data science, and ML concepts.
• Knowledge of libraries like Scikit-learn, MLlib, H2O, R, PySpark, SparkR.
• Interest in growing as a data professional.

**Pay Range:**

The annual base pay range is $110,700 to $184,600, influenced by experience, education, and skills. Eligible for discretionary bonuses and commissions. Posting closes on 5/7/2025.

**Benefits:**

Comprehensive health, retirement, tuition, parental leave, disability, life insurance, and paid time off. Details on plans and programs are provided, with the right to modify at GE Aerospace’s discretion.

**Additional Info:**

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