Senior Level Gis Analyst Jobs
Senior level gis analyst jobs put experienced geospatial professionals in charge of complex spatial analysis, enterprise data infrastructure, and the technical direction of projects and teams that deliver on those outcomes. Openings are concentrated in Technology & Software, Consulting & Professional Services, and Government & Public Sector, with a mix of on-site, hybrid, and remote positions available, and employers like Esri, Cognizant, and WSP hiring at this level now.
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We are seeking an experienced Lead GIS Integration Engineer to drive the technical design, architecture, and delivery of a Next-Generation GIS Program. This role is critical in integrating legacy Smallworld GIS and modern Esri Utility Network data into an Advanced Distribution Management System (ADMS).
The ideal candidate will bridge enterprise GIS, real-time Operational Technology (OT), and cloud-native data engineering by establishing scalable, event-driven data pipelines within an AWS environment to ensure seamless synchronization during a multi-year transformation. Key Responsibilities GIS Integration & Architecture
Interface Design: Lead the architecture of high-availability integrations between Smallworld, Esri ArcGIS Enterprise (Utility Network), and the ADMS platform.
Event-Driven Pipelines: Design and implement real-time data streams using Apache Kafka (MSK) for incremental network model updates and spatial asset changes.
Model Reconciliation: Resolve data model conflicts, schema mismatches, and business rule differences when translating GIS connectivity into ADMS topology.
Standards Enforcement: Define and enforce integration standards, data contracts, and API design patterns (REST/SOAP). Data Engineering & Migration Cutover
Spatial ETL Pipelines: Build end-to-end ETL pipelines using FME Form/Flow and Python, including automated deployment and auditing.
Coexistence Strategy: Enable dual-source data ingestion to support phased migration (handling active circuits from both Smallworld and Esri simultaneously).
Runbook Execution: Develop migration runbooks, validation scripts, and automated rollback procedures for production cutovers. Cloud & DevOps
Cloud Infrastructure: Design and manage AWS infrastructure for GIS and streaming workloads (EC2, S3, RDS/Aurora, Lambda, ECS/EKS, API Gateway).
CI/CD Automation: Implement CI/CD pipelines and branching strategies using Git alongside Infrastructure as Code (Terraform or CloudFormation).
Observability: Monitor pipeline health, establish alerting via CloudWatch, and lead incident response for production systems. Required Qualifications
Experience: 8+ years in GIS engineering, system integration, or spatial data engineering, with 3+ years in a technical leadership role.
Domain Expertise: Experience delivering GIS-to-ADMS/OMS integrations (e.g., GE, Schneider Electric, Oracle, Hitachi/ABB) within electric or gas utilities.
Data Standards: Strong understanding of CIM (IEC 61968 & 61970) standards for utility data exchange.
Streaming & ETL: Hands-on experience with Apache Kafka (topic design, producers/consumers, schema registry) and FME Form/Flow.
Programming: Advanced Python skills using spatial libraries (GeoPandas, Shapely, Fiona, ArcPy) and API frameworks (FastAPI).
Databases: Expertise in PostgreSQL/PostGIS and Oracle Spatial. Preferred Qualifications
AWS Certified Solutions Architect certification.
Experience with Smallworld CASE tools or Esri Utility Network configuration.
Experience with automated testing frameworks for spatial data (e.g., Pytest).
Familiarity with Agile/Scrum methodologies. Technical Environment
Core Systems: GE Smallworld, Esri ArcGIS Enterprise 11.1+ (Utility Network), ADMS
Streaming & Cloud: Apache Kafka / AWS MSK, AWS services (Lambda, S3, RDS, EKS)
Development & DevOps: Python (GeoPandas, FastAPI), FME Form/Flow, Terraform, Git, CI/CD Work Environment & Travel
Location: Hybrid / Remote Eligible (Charlotte, NC preferred)
Travel: Up to 20% for onsite workshops, stakeholder meetings, and critical migration cutovers
We are seeking an experienced Lead GIS Integration Engineer to drive the technical design, architecture, and delivery of a Next-Generation GIS Program. This role is critical in integrating legacy Smallworld GIS and modern Esri Utility Network data into an Advanced Distribution Management System (ADMS).
The ideal candidate will bridge enterprise GIS, real-time Operational Technology (OT), and cloud-native data engineering by establishing scalable, event-driven data pipelines within an AWS environment to ensure seamless synchronization during a multi-year transformation. Key Responsibilities GIS Integration & Architecture
Interface Design: Lead the architecture of high-availability integrations between Smallworld, Esri ArcGIS Enterprise (Utility Network), and the ADMS platform.
Event-Driven Pipelines: Design and implement real-time data streams using Apache Kafka (MSK) for incremental network model updates and spatial asset changes.
Model Reconciliation: Resolve data model conflicts, schema mismatches, and business rule differences when translating GIS connectivity into ADMS topology.
Standards Enforcement: Define and enforce integration standards, data contracts, and API design patterns (REST/SOAP). Data Engineering & Migration Cutover
Spatial ETL Pipelines: Build end-to-end ETL pipelines using FME Form/Flow and Python, including automated deployment and auditing.
Coexistence Strategy: Enable dual-source data ingestion to support phased migration (handling active circuits from both Smallworld and Esri simultaneously).
Runbook Execution: Develop migration runbooks, validation scripts, and automated rollback procedures for production cutovers. Cloud & DevOps
Cloud Infrastructure: Design and manage AWS infrastructure for GIS and streaming workloads (EC2, S3, RDS/Aurora, Lambda, ECS/EKS, API Gateway).
CI/CD Automation: Implement CI/CD pipelines and branching strategies using Git alongside Infrastructure as Code (Terraform or CloudFormation).
Observability: Monitor pipeline health, establish alerting via CloudWatch, and lead incident response for production systems. Required Qualifications
Experience: 8+ years in GIS engineering, system integration, or spatial data engineering, with 3+ years in a technical leadership role.
Domain Expertise: Experience delivering GIS-to-ADMS/OMS integrations (e.g., GE, Schneider Electric, Oracle, Hitachi/ABB) within electric or gas utilities.
Data Standards: Strong understanding of CIM (IEC 61968 & 61970) standards for utility data exchange.
Streaming & ETL: Hands-on experience with Apache Kafka (topic design, producers/consumers, schema registry) and FME Form/Flow.
Programming: Advanced Python skills using spatial libraries (GeoPandas, Shapely, Fiona, ArcPy) and API frameworks (FastAPI).
Databases: Expertise in PostgreSQL/PostGIS and Oracle Spatial. Preferred Qualifications
AWS Certified Solutions Architect certification.
Experience with Smallworld CASE tools or Esri Utility Network configuration.
Experience with automated testing frameworks for spatial data (e.g., Pytest).
Familiarity with Agile/Scrum methodologies. Technical Environment
Core Systems: GE Smallworld, Esri ArcGIS Enterprise 11.1+ (Utility Network), ADMS
Streaming & Cloud: Apache Kafka / AWS MSK, AWS services (Lambda, S3, RDS, EKS)
Development & DevOps: Python (GeoPandas, FastAPI), FME Form/Flow, Terraform, Git, CI/CD Work Environment & Travel
Location: Hybrid / Remote Eligible (Charlotte, NC preferred)
Travel: Up to 20% for onsite workshops, stakeholder meetings, and critical migration cutovers
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Who's Hiring
- Esri2
- Cognizant2
- WSP1
- ARDENT1A
- Parsons1
Top Industries Hiring
- Technology & Software6
- Consulting & Professional Services6
- Government & Public Sector2
- Energy1
- Manufacturing1
Senior Level Gis Analyst Jobs: Frequently Asked Questions
How do I get a senior level gis analyst job?
Employers at this level want candidates who can own a geospatial program end to end, not just execute tasks. A strong portfolio demonstrating enterprise-scale projects, proficiency with tools like ArcGIS Enterprise, Python, or SQL, and evidence of mentoring junior analysts or leading cross-functional teams will set you apart. Tailoring your application to show decision-making authority and measurable project outcomes carries the most weight.
Which companies hire senior level gis analysts?
Companies hiring senior level gis analysts right now include Esri, Cognizant, and WSP, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to come from large government contractors, utilities, environmental consulting firms, and technology companies running dedicated geospatial or location intelligence functions.
Are there remote senior level gis analyst jobs?
Yes, remote and hybrid options are a meaningful part of the market at this level. About 38% of senior level gis analyst openings are remote or hybrid as of July 2026, reflecting the portability of geospatial workflows and the demand for experienced talent regardless of geography. On-site roles tend to cluster around government agencies and field-dependent projects.
What makes a gis analyst role senior level?
A senior level gis analyst role is defined by scope and ownership, not just technical skill. You are expected to architect spatial data systems, make independent methodological decisions, and communicate findings to non-technical stakeholders. You also typically guide or mentor junior and mid-level analysts. The distinction from a mid-level role is the shift from executing defined tasks to shaping how the work gets done.
Which industries hire the most senior level gis analysts?
Senior Level gis analyst roles concentrate in Technology & Software, Consulting & Professional Services, and Government & Public Sector, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because their operations depend on sophisticated spatial data, regulatory mapping, infrastructure planning, or real-time location intelligence that requires experienced professionals to own the analytical strategy.