AI Data Architect
GE Vernova · Posted Oct 5
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova's Data & Analytics organization runs an AWS-based enterprise analytics platform centered on Redshift, supporting ingestion, orchestration, modeling, BI consumption, and emerging AI/ML and LLM use cases. The platform ingests data through HVR (Fivetran) and internal batch applications, is orchestrated by an in-house tool, and is consumed via Tableau and Power BI. This role is a senior individual contributor that sets architectural direction, standards, and design governance across the platform, validating solution designs and improving data readiness for advanced analytics and AI.
What you will do
- Provide architectural leadership for the Data & Analytics platform, including target-state direction, principles, standards, and guardrails
- Guide the evolution of the AWS-based analytics environment, with particular focus on Redshift architecture, scalability, reliability, maintainability, and performance
- Define and maintain best practices across ingestion, orchestration, data modeling, BI consumption, platform usage, and AI data readiness
- Review, challenge, and validate solution designs proposed by development teams to ensure alignment with platform standards and enterprise architectural principles
- Support governance and quality improvement through practical architecture review, design oversight, and standards adoption
- Help shape platform capabilities that improve data readiness for AI/ML and LLM-related use cases, including metadata quality, discoverability, governed reuse, lineage visibility, and fit-for-purpose data preparation
- Provide guidance on modern data architecture patterns relevant to AI enablement, including lakehouse architecture, feature stores, vector database concepts, and related design considerations where appropriate
- Promote effective use of metadata, cataloging, and governance capabilities to improve data discovery, trust, interoperability, and cross-platform connectivity
- Collaborate with platform, engineering, analytics, governance, and business stakeholders to align technical direction with enterprise priorities and delivery needs
- Facilitate cross-team design discussions, technical decision-making, and trade-off analysis across multiple teams and stakeholders
Skills used in this role
What the employer is looking for
- 6–8 years of experience in a similar AI data architecture, platform architecture, data architecture, solution architecture, platform engineering, or senior data engineering role within a cloud-based Data & Analytics environment
- Strong experience with AWS services and architectural principles relevant to enterprise data and analytics platforms
- Strong understanding of Redshift-based analytical data environments
- Experience across key Data & Analytics capabilities, including ingestion, orchestration, data modeling, analytics consumption, and platform operations
- Demonstrated ability to define standards, architectural patterns, and design guardrails across multiple teams
- Proven experience reviewing, challenging, and validating technical solutions proposed by engineering and data teams
- Practical working knowledge of SQL and analytics tools sufficient to assess technical designs and engage credibly with delivery teams
- Familiarity with modern data architecture patterns that support AI/ML use cases, including lakehouse architecture, feature stores, and vector database concepts
- Practical understanding of data preparation, metadata, governance, and discoverability needs that support downstream AI, ML, and LLM use cases
Preferred qualifications
- Experience with HVR and/or Fivetran in enterprise ingestion environments
- Familiarity with Tableau and Power BI in governed analytics ecosystems
- Experience with data fabric, data mesh, or other distributed data architecture models, including decentralized ownership and federated governance
- Experience with modern metadata, catalog, lineage, or governance platforms that improve discovery and interoperability
- Experience improving metadata management, cataloging, governance processes, or platform transparency
- Experience with enterprise architecture practices, platform modernization, or operating model improvement
- Exposure to AI/ML platform enablement patterns, including governed data provisioning for LLM use cases
- Certifications in AWS, architecture, data engineering, or project/program management
- Experience participating in architecture review boards, design authorities, or technical governance forums
Benefits and support
- Relocation assistance
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
Recent coverage
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GE Vernova declares fourth quarter 2026 dividend2026-09-30
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