Cognizant

Lead GIS Integration Engineer - Remote

Cognizant$100K — $130K *
US-AnywhereRemote in Charlotte, NC
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in GIS engineering or system integration with 3+ years in a leadership role
  • Experience integrating GIS with ADMS/OMS for electric or gas utilities
  • Strong understanding of CIM standards for utility data exchange
  • Hands-on experience with Apache Kafka and FME Form/Flow
  • Advanced Python programming skills with spatial libraries
  • Expertise in PostgreSQL/PostGIS and Oracle Spatial

Responsibilities

  • Lead the design of integrations between Smallworld, Esri ArcGIS, and ADMS
  • Design and implement real-time data pipelines using Apache Kafka
  • Resolve data model conflicts during GIS to ADMS integration
  • Define and enforce integration standards and API patterns
  • Build end-to-end ETL pipelines with automated deployment
  • Enable dual-source data ingestion for phased migrations
  • Design and manage AWS infrastructure for GIS workloads
  • Implement CI/CD automation and maintain pipeline health

Benefits

  • Hybrid/remote work flexibility
  • Opportunities for professional development and growth
  • Engagement in cutting-edge technology and innovation
  • Collaborative work environment with cross-functional teams
  • Involvement in impactful projects within the utilities sector
Full Job Description
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Position Overview

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


About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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