NomadDesk

Data Architect

Job Description Summary

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 ensure that the data fabric meets operational, regulatory, and strategic needs-especially in the context of CIM/CGMES, SCADA, metering, asset management, and energy market integration..

Job 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 utilities data and business processes.

• 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

• Align data architecture with Transmission / Distribution system operators regulatory obligations
• 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.

• 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.

• 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

• Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 7+ years experience as a Functional Data Architect 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 Transmission or Distribution system operators 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.
• Professional English level.

• Familiarity with cloud platforms and their data services, such as AWS (e.g., S3, Glue, Redshift), Azure (e.g., Data Factory, Synapse), or Google Cloud Platform (e.g., BigQuery, Dataflow).
• 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

• Strong 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