Requisition ID: 94348
Florida Power & Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation's most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we're redefining what's possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy.
Position Specific Description
We are seeking a highly skilled and forward-thinking Principal Data & Smart Grid Platform Engineer to lead the design, development, and integration of enterprise-scale data platforms supporting Smart Grid and Advanced Metering Infrastructure (AMI) systems. This role is critical to enabling real-time operations, analytics, and enterprise integration across our utility technology ecosystem.
As a senior technical leader, you will help architect and evolve cloud-native data solutions that power grid modernization, outage management, customer analytics, and operational excellence.
Key Responsibilities
- AI first engineer and leveraging emerging AI tools, technology and patterns to execute on work as well as product solutions
- Coordinating with the Offshore teams
- Lead the design and implementation of scalable data platforms supporting AMI and Smart Grid systems
- Develop and maintain data pipelines for ingesting, transforming, and storing high-volume telemetry and event data
- Integrate AMI data platforms with enterprise systems
- Design and manage APIs and microservices for real-time data access and system interoperability
- Collaborate with cross-functional teams to align architecture with business and operational needs
- Ensure data quality, governance, and security across all AMI-related data flows
- Mentor technical teams and contribute to architectural standards and best practices
- Hands-on experience participating in Agile/Scrum teams, including sprint planning, daily stand-ups, and retrospectives
Qualifications
- Proven experience in utility, energy, or industrial IoT environments is highly desirable
- Strong understanding of cloud-native architectures and distributed systems
Preferred Technical Expertise
- Cloud Data Lakes: Experience with AWS S3 or equivalent for scalable data ingestion and storage
- Data Warehousing: Proficiency with Amazon Redshift or similar platforms for structured data analytics
- AI-Assisted Full-Stack Development
- Agentic AI Workflow Integration
- NoSQL & Real-Time Databases: Hands-on experience with Amazon DynamoDB or similar for low-latency data access
- ETL/ELT & Data Pipelines: Expertise with AWS Glue, Apache Spark, or EMR for batch and real-time processing
- Streaming & Messaging Platforms: Familiarity with Apache Kafka and Amazon Kinesis for real-time data ingestion
- API & Integration Services: Experience with RESTful APIs, AWS API Gateway, Lambda, and SQS
- Time-Series Data Management: Knowledge of Amazon Timestream or similar platforms
- Enterprise System Integration: Understanding of integration patterns with downstream systems
- Analytics & Visualization: Proficiency with Power BI, Grafana, or Redshift Spectrum
- Security & Governance: Familiarity with data governance, access control, and cybersecurity best practices
Preferred Certifications
- AWS Certified Solutions Architect - Professional
- TOGAF or equivalent enterprise architecture certification
- Certified Kubernetes Administrator (CKA) or DevOps-related certifications
- Lean Six Sigma Green Belt or higher (a plus)