Sr Data Platform Architect

General Electric; Little Rock (AR); 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 Dataiku DSS platform management. This exciting role involves optimizing data architecture, ensuring security, and driving analytics innovation. You will collaborate with diverse teams to deploy machine learning models and automate processes, all while fostering a culture of data-driven decision-making. Join a supportive environment that prioritizes professional development and offers competitive compensation. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Health Coverage

Retirement Plans

Tuition Assistance

Professional Development Opportunities

Qualifications

• 4+ years of professional experience in data architecture and engineering.
• 3+ years of experience in Dataiku administration.

Responsibilities

• Manage and maintain the Dataiku DSS platform for optimal performance.
• Collaborate with teams to integrate ML solutions and provide training.

Skills

Dataiku

Linux

SQL

Python

AWS (EKS, S3)

Spark

Data Architecture

MLOps

Data Visualization

IT Process Automation

Education

Bachelor's Degree in Relevant Field

Tools

Dataiku DSS

AWS

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 analytics innovation. 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 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 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, especially EKS and S3
• Experience with Spark and distributed processing
• Automation of manual processes
• Deep expertise in data architecture and engineering
• Understanding of data science concepts
• Experience with data visualization and web applications
• IT process automation skills
• Ability to communicate technical concepts effectively to non-technical audiences

Qualifications/Requirements

• Bachelor’s degree in a relevant field with at least 4 years of professional experience, or equivalent experience as detailed
• Minimum of 3 years of Dataiku administration experience

Additional Requirements

• Legal authorization to work in the U.S. (no sponsorship)

Desired Characteristics

• Degree in STEM fields
• Strong interpersonal and collaborative skills
• Experience with Spotfire, data applications, data science, and machine learning libraries
• Knowledge of R, PySpark, SparkR, and infrastructure architecture
• Motivation to grow as a data professional

Compensation and Benefits

The salary range is $110,700 - $184,600 annually, with potential bonuses and benefits including health coverage, retirement plans, tuition assistance, and more.

Additional Information

GE Aerospace offers a supportive work environment, professional development opportunities, and is an Equal Opportunity Employer. Employment is contingent upon legal work authorization and passing a drug screen. This position is remote.