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You will be updated with latest job alerts via emailAs a Technical 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 Vernovas 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.
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
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.
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
Must Have
Significant experience as a Data Architect Data Analyst or BI Solution Architect.
Strong understanding of data architecture patterns especially data fabric data mesh or enterprise data hubs.
Experience of data modeling and database design
Experience of technologies like columnar NoSQL databases unstructured data streaming analytics and event driven architectures
Experience of traditional RDBMS based technologies e.g. SQL ETL BI and data migration
Familiarity with predictive analytics data visualization
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.
Experience working in a containerized microservice based environment
Working knowledge of data catalogs e.g. DataHub and definition of data quality
Experience of OT/IT integration and challenges
Familiarity with zero trust architectures
Experience of Machine Learning Pipelines
Understanding of data governance framew#orks (e.g. DAMA-DMBOK).
Exposure to semantic layers (e.g. dbt LookML AtScale or similar tools).
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
Relocation Assistance Provided: No
Full-Time