Asset and Grid Data Architect - Remote / Telecommute

• The Asset and Grid Data Architect is responsible for designing and implementing scalable data architectures to support asset management and grid operations.
• This role involves translating business requirements into domain-driven data solutions, enabling analytics, governance, and integration across enterprise systems.
• The candidate will collaborate with stakeholders and engineering teams to deliver reliable, high-quality data platforms and solutions., * Partner with business stakeholders to define data-driven outcomes and success criteria.
• Design conceptual, logical, and physical data models aligned with domain-driven design principles.
• Architect and oversee development of data products including curated datasets, semantic models, APIs, and analytical solutions.
• Define architecture patterns for batch and streaming data pipelines.
• Establish and enforce data governance standards including data quality, metadata, and lineage frameworks.
• Design integration architectures across enterprise and utility systems.
• Collaborate with data engineering teams to implement ETL/ELT pipelines and scalable data models.
• Define master data and reference data management strategies.
• Implement data quality monitoring, validation, and observability frameworks.
• Define security models including role-based access control and data classification.
• Enable analytics use cases such as asset performance, predictive maintenance, outage analysis, and load forecasting.
• Support adoption through documentation, training materials, and best practices.

• Strong experience in data architecture, data modeling, and integration design.
• Experience designing modern data platforms including data lakes, data warehouses, and streaming architectures.
• Experience working with utility systems such as GIS, OMS, ADMS, SCADA, AMI, or EAM platforms., * Data architecture and domain-driven design.
• Data modeling and integration design.
• ETL/ELT pipelines and streaming data architectures.
• SQL and data analysis for validation and troubleshooting.
• Data governance, quality, lineage, and stewardship frameworks.
• Experience with BI tools such as Power BI.
• Knowledge of enterprise integration patterns and utility data models.
• Strong analytical, problem-solving, and communication skills.

Qualification And Education:

• Bachelor s degree in Computer Science, Information Systems, Engineering, or related field.
• Equivalent work experience may be considered.

Should Have:

• Experience supporting regulatory reporting or audit processes.
• Knowledge of industry standards such as common information models.
• Strong domain expertise in asset and grid operations, maintenance, and planning.