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- Tasks: Join us as a Data Architect, shaping the future of electric utilities through innovative data solutions.
- Company: GE Vernova leads in software for electricity grid operations, driving clean energy and AI advancements.
- Benefits: Enjoy flexible work options, professional development opportunities, and a collaborative team culture.
- Why this job: Be part of a digital transformation that impacts global energy markets and enhances customer experiences.
- Qualifications: Experience in data architecture, strong communication skills, and knowledge of energy utility processes required.
- Other info: No relocation assistance provided; ideal for tech-savvy individuals passionate about modernising utility data ecosystems.
The predicted salary is between 48000 - 84000 £ per year.
Job Description Summary GE Vernova is the leading software provider for the operations of national and regional electricity grids worldwide. Our software solutions range from supporting electricity markets, enabling grid and network planning, to real-time electricity grid operations. Data & AI are at the heart of the on-going digital transformation, shaping the future of grid operation, clean energy initiatives, and AI driven customer experiences. Job Description As a Functional Data Architect (Data and Analytics) specializing in electric utilities, you will play a pivotal role in defining and implementing solutions leveraging the GridOS Data Fabric, which is the grid data management layer of GE Vernova’s GridOS Platform. You will act as the bridge between business users and technical teams, guiding the design, rollout, and adoption of a data fabric that supports data integration, governance, and accessibility across the organization You will work closely with clients to understand their business needs, translate them into use cases that the technical team can design and build. Your role will involve collaborating with domain experts, business analysts, solution architects to ensurethat the data fabric meets operational, regulatory, and strategic needs—especially in the context of CIM/CGMES, SCADA, metering, asset management, and energy market integration.. Key Responsibilities Business alignment & Requirements · Lead discussions with business users (IT and OT), subject matter experts (SMEs), and stakeholders to gather data needs and translate them into functional architecture components. · Define domain-driven data models aligned with electric utility processes (grid operations, asset management, outage response, etc.). · Drive workshops with customers capturing the foundation for a sucessful GridOS Data Fabric realization. Act as a thought leader within the utility domain, understanding and challenging the utilites data and business processes. Solution Design · Define the functional architecture of the enterprise data fabric, including metadata, lineage, semantics, access control, and domain federation. · Collaborate with solution architects to align logical data models with physical implementations & prepare a high level integration architecture design that integrates data from various sources with the GridOS Data Fabric, ensuring data quality, consistency, and accessibility · Manage involvement of other SMEs (e.g. business analysts, IT/Cybersecurity experts) and make sure their design contributions meet system architecture functional and non-functional requirements. Collaborate with Product Managers & Engineering (Customer Voice, Return on Experience, product enhancements, reference architectures) · Define data service contracts and semantic layers across operational and analytical use cases. · Data Analytics: Works on extracting meaningful patterns and trends from data to support decision-making and optimize operations Energy Domain and Regulatory integration · Align data architecture with TSO/DSO regulatory obligations (e.g., ENTSO-E). · Integrate models like CIM (IEC 61970/61968) and CGMES into the data architecture. · Address interoperability with grid modeling, EMS/SCADA systems, and market data platforms. Governance & Enablement · Define data ownership, stewardship, and usage policies in cooperation with Data Governance teams. · Support data cataloging, lineage tracing, and business glossary implementation. · Ensure that data is discoverable, trustworthy, and accessible for use by analytics and AI teams. Collaboration & Delivery · Train and support business users in self-service data access and semantic model navigation. · Contribute to change management and adoption across internal stakeholders and external partners. · Mentoring, training and knowledge sharing: Collaborate with the Services function (Delivery Manager Project Manager, Integrators) during the implementation phase, provide training and mentorship to develop teams and clients, ensuring successful adoption and utilization of GridOS Data Fabric. · Own the design deliverables (Statement of Work, Solution Architecture documents), ensure traceability of requirements with solutions proposed. Accountable for the communication and enforcement of the Solution Design to Customer and Key Project Stakeholders. · Continuous Improvement: Drive excellence in execution through continuous improvement in their segment or domain (best practices and reference material – reference architectures, reference solutions, stay current with the latest advancements in the technological domain) · Technical Expertise: Build technical expertise in the field of their segment or domain. Deliver technical consultancy services on demand Skills & Qualifications Must Have · significant experience as a Functional Data Architect, Data Analyst, or BI Solution Architect. · Strong understanding of data architecture patterns, especially data fabric, data mesh, or enterprise data hubs. · Knowledge of energy utility business processes: network operations, metering, asset lifecycle, and compliance. · Experience working with TSOs/DSOs or utilities vendors · Familiarity with CIM / CGMES standards, IEC 61970/61968, or other energy modeling frameworks. · Ability to facilitate workshops and write clear functional specifications. Experience in a client-facing or consulting role, delivering technical solutions to enterprise clients. · Knowledge with cloud-based data platforms and solutions (e.g. Azure, AWS, Google Cloud). · Excellent interpersonal, oral/presentation and written communication skills in both technical and non-technical language. · Mobile Software Architecture: Knowledge of mobile software architecture for field crew operations, offline support, and near-real time operation. · Professional English level. Nice-to-Have · Experience with data platforms such as Talend, Informatica, Azure Synapse, Snowflake, or Denodo. · Understanding of data governance frameworks (e.g., DAMA-DMBOK). · Exposure to semantic layers (e.g., dbt, LookML, AtScale, or similar tools). · Working knowledge of data catalogs Soft Skills · Strong communication and stakeholder management skills. · Business-oriented mindset with technical literacy. · Proactive, structured, and able to drive consensus across teams. · Curious and motivated to modernize utility data ecosystems. · Strong problem-solving abilities and capable of articulating specific technical topics or assignments Additional Information Relocation Assistance Provided: No Additional Information Relocation Assistance Provided: No #J-18808-Ljbffr
Data Architect (Data & Analytics) employer: GE Vernova's Grid Software
Contact Detail:
GE Vernova's Grid Software Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Data & Analytics)
✨Tip Number 1
Familiarise yourself with the GridOS Data Fabric and its functionalities. Understanding how it integrates with electric utility processes will help you articulate your insights during interviews, showcasing your knowledge of the specific tools and frameworks used in the role.
✨Tip Number 2
Network with professionals in the energy sector, especially those who have experience with TSOs/DSOs or utilities vendors. Engaging in discussions about current trends and challenges can provide you with valuable insights that you can reference in your conversations with potential employers.
✨Tip Number 3
Prepare to discuss your experience with data architecture patterns, particularly data fabric and data mesh. Be ready to share specific examples of how you've implemented these concepts in previous roles, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Showcase your ability to facilitate workshops and gather requirements from business users. Highlighting your experience in translating business needs into functional architecture will be crucial, as this is a key responsibility of the role you're applying for.
We think you need these skills to ace Data Architect (Data & Analytics)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with the key aspects of the role, such as data architecture patterns and energy utility business processes.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your background in data architecture, cloud-based solutions, and any experience with TSOs/DSOs or utilities vendors.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Discuss how your experience aligns with the responsibilities outlined in the job description, particularly your ability to facilitate workshops and translate business needs into functional architecture.
Showcase Your Technical Skills: In your application, be sure to mention specific technical skills and tools you are familiar with, such as cloud platforms (Azure, AWS), data governance frameworks, and any relevant software like Talend or Informatica. This will demonstrate your capability to meet the technical demands of the role.
How to prepare for a job interview at GE Vernova's Grid Software
✨Understand the Energy Sector
Familiarise yourself with the energy utility business processes, especially those related to grid operations and asset management. Being able to discuss these topics will show your understanding of the industry and how your role as a Data Architect fits into it.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture patterns like data fabric and data mesh. Highlight any relevant projects you've worked on, particularly those involving cloud-based platforms such as Azure or AWS, as this will demonstrate your technical capabilities.
✨Prepare for Client-Facing Scenarios
Since the role involves working closely with clients, practice articulating complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past.
✨Demonstrate Problem-Solving Skills
Think of specific challenges you've faced in previous roles and how you overcame them. Be ready to discuss your problem-solving approach, especially in relation to data governance and integration within the energy sector.
