Additive Manufacturing Data Architect

About the Role

Key Responsibilities

• Responsible for managing business critical data engineering processes and data architecture solutions for additive manufacturing technologies and inspection modalities in various phases of development to enable analytical and reporting solutions.
• Responsible for analyzing and preparing the data needed for data science based outcomes.
• Managing and maintaining metadata data structures and providing support for post-deployment activities.
• Deliver results in a timely manner using agile methodologies.
• Proactively learns new tools and integrates new methods to drive improved outcomes.
• Identifies and assesses new technologies that can add value and capability to GE.
• Builds rapport with the team and gets buy-in for ideas.
• Drives stakeholder understanding and acceptance of new ideas in their business.
• Participates in change programs by planning implementation activities with other change champions.
• Implements monitoring and feedback systems.
• Shares knowledge, power, and credit, establishing trust, credibility, and goodwill.
• Coordinates role responsibilities with others to achieve mutual goals.
• Encourages groups to work together to resolve problems.
• Proactively coaches and/or mentors others to improve their contribution to the team.
• Identifies when additional information is needed from stakeholders and asks relevant questions.
• Communicates status and evaluates data sets to determine possible value or steps to create value.
• Adjusts information and storytelling to align with audience and produces detailed functional area information.
• Provides options and counsel, driving dialogues that produce innovation and analysis.
• Connects ideas from various sources, pilots new ideas, and manages risks associated with decisions.
• Identifies future roadblocks, assesses problems, and advises on solutions.
• Influences decision-making processes and resolves conflicting opinions through facilitation.
• Analyzes and interprets complex data patterns to make informed decisions.
• Mentors team members and develops talent pools across the organization.

Requirements

• Bachelor's Degree in Computer Science or STEM majors (Science, Technology, Engineering, and Math).
• Minimum of 4 years of experience working with AWS.
• Experience with big data or MPP databases.
• Hands-on experience with complex code development in multiple languages.
• Experience developing reusable code pipelines through CI/CD.
• Ability to influence decision-makers and drive design and implementation of roadmaps.
• Strong problem-solving, decision-making, and risk management skills.
• Excellent collaboration, communication, and change management skills.
• Ability to analyze and interpret complex data patterns and relationships.

Nice to Have

• Knowledge working with S3, Storage Gateway, and SageMaker.
• Experience with Python and SQL.
• Experience working with firewalls.

Qualifications

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

Benefits & Perks

• GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation.