Asset and Grid Data Architect- Remote within USA
Location
Contract 1+ year
Role Overview
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.
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
• Ensure alignment with industry standards (e.g., CIM) and enterprise integration patterns.
Data Engineering Collaboration
• Guide source-to-target mapping, transformation logic, and data lineage.
• Collaborate with data engineers to implement scalable ETL/ELT pipelines and data models.
• Define reference data and master data management strategies.
Data Quality, Validation & Observability
• Establish data quality rules, monitoring frameworks, and validation processes.
• Oversee dataset validation through reconciliation, reasonableness checks, and root-cause analysis.
• Implement observability practices for data reliability and trust.
Security & Access Architecture
• Define data access patterns, security classifications, and role-based access control models.
• Ensure compliance with regulatory and enterprise data security standards.
Analytics & Use Case Enablement
• Enable high-value analytics use cases, including:
• Reliability metrics (SAIDI, SAIFI, CAIDI).
• Asset health and predictive maintenance.
• Outage performance and restoration analytics.
• Vegetation management.
• Load forecasting and grid modernization KPIs.
Adoption & Enablement
• Drive adoption through architectural guidance, documentation, and best practices.
• Support creation of training materials, playbooks, and reusable design patterns.
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).
Thanks & Regards,
Team Lead
Mahesh Kumar
Direct No:
Yochana Solutions INC
Windsor, Ontario- Canada
Farmington hills, MI-48335- USA
USA | CANADA I Mexico | INDIA
W:
Note: This is not an unsolicited mail. If you are not interested in receiving our e-mails then please reply with subject line Remove
Apply Now
Apply Now
Contract 1+ year
Role Overview
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.
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
• Ensure alignment with industry standards (e.g., CIM) and enterprise integration patterns.
Data Engineering Collaboration
• Guide source-to-target mapping, transformation logic, and data lineage.
• Collaborate with data engineers to implement scalable ETL/ELT pipelines and data models.
• Define reference data and master data management strategies.
Data Quality, Validation & Observability
• Establish data quality rules, monitoring frameworks, and validation processes.
• Oversee dataset validation through reconciliation, reasonableness checks, and root-cause analysis.
• Implement observability practices for data reliability and trust.
Security & Access Architecture
• Define data access patterns, security classifications, and role-based access control models.
• Ensure compliance with regulatory and enterprise data security standards.
Analytics & Use Case Enablement
• Enable high-value analytics use cases, including:
• Reliability metrics (SAIDI, SAIFI, CAIDI).
• Asset health and predictive maintenance.
• Outage performance and restoration analytics.
• Vegetation management.
• Load forecasting and grid modernization KPIs.
Adoption & Enablement
• Drive adoption through architectural guidance, documentation, and best practices.
• Support creation of training materials, playbooks, and reusable design patterns.
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).
Thanks & Regards,
Team Lead
Mahesh Kumar
Direct No:
Yochana Solutions INC
Windsor, Ontario- Canada
Farmington hills, MI-48335- USA
USA | CANADA I Mexico | INDIA
W:
Note: This is not an unsolicited mail. If you are not interested in receiving our e-mails then please reply with subject line Remove
Apply Now
Apply Now