Asset and Grid Data Architect

Position: Asset and Grid Data Architect
Location: Remote, USA 

Industry Experience Required-UTILITIES DOMAIN
The Asset & Grid Data Architect serves as the strategic bridge between Asset Management / Grid stakeholders and the APS Data Platform team. This role is responsible for defining and architecting scalable, high-quality data solutions that enable advanced analytics, operational insights, and grid modernization initiatives. The architect will drive data product design, governance, integration across utility systems, and ensure alignment with enterprise data standards and business outcomes.

Required Qualifications
Strong experience designing modern data platforms (cloud data lake/warehouse, streaming, ETL/ELT, data catalog).
Proven experience in data architecture, data modeling, and integration design.
Experience with utility systems such as GIS, OMS, ADMS, SCADA, AMI, or EAM (e.g., IBM Maximo)
Deep understanding of data governance, data quality, lineage, and stewardship frameworks
Hands-on experience with SQL and data analysis for validation and troubleshooting
Exp. with BI/analytics tools (e.g., Power BI)
Familiarity with utility data models such as CIM and enterprise integration patterns
Exp. supporting regulatory reporting or audit processes related to grid or asset performance

Core Competencies
Strong asset and grid domain expertise (equipment, connectivity, operations, maintenance, planning).
Expertise in data architecture and domain-driven design principles.
Advanced data literacy (definitions, lineage, quality, governance)
 
Preferred Tools & Technologies
Data Platforms: Cloud data lake/warehouse (Azure, AWS, Google Cloud Platform), ETL/ELT pipelines, streaming platforms, data catalog tools
Analytics/BI: Power BI or similar tools
Utility Systems: GIS, OMS, ADMS, SCADA, AMI, Maximo, Work Management
Delivery Tools: Azure DevOps, Jira, Confluence, SharePoint

Key Responsibilities
Business & Domain Architecture
Partner with Asset Management and Grid stakeholders to define business outcomes and measurable success criteria.
Translate business needs into scalable data architecture and domain-aligned data products.
Lead domain-driven design for asset and grid data, including conceptual, logical, and physical data models.
Data Product Architecture & Design
Architect and oversee development of data products such as:
Curated datasets
Semantic data models
Analytical datasets and dashboards
APIs and machine learning feature stores
Define architecture patterns for batch and streaming data pipelines.
Data Governance & Standards
Define Critical Data Elements (CDEs), business definitions, and data quality frameworks.
Establish and enforce data governance standards, including:
Business glossary
Data stewardship models
Metadata and lineage frameworks
Data Integration & System Alignment
Design integration architecture across utility systems, including:
GIS, OMS, ADMS
SCADA/telemetry
AMI
EAM (e.g., Maximo) and Work Management
Customer and market systems