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Lead GIS Integration Engineer 2 - Remote

00069444892

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: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

 

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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