Principal Data Systems Architect (AWS, SQL, Python – Wind Energy Operations)
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Job Location:
Schenectady, NY - USA
Monthly Salary:
$ 119600 - 199400
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
We are seeking a hands-on Data Systems Architect to design build and operate cloud-based data systems that support a Wind Energy Remote Operations Center (ROC). This role is deeply technical and execution-focused responsible for developing and maintaining AWS-based data platforms using SQL and Python while progressively enabling AI-driven analytics and automation to improve turbine performance reliability and operational decision-making.Job Description
Job Title: Principal Data Systems Architect (AWS SQL Python Wind Energy Operations)
Overview
We are seeking a hands-on Data Systems Architect to design build and operate cloud-based data systems that support a Wind Energy Remote Operations Center (ROC). This role is deeply technical and execution-focused responsible for developing and maintaining AWS-based data platforms using SQL and Python while progressively enabling AI-driven analytics and automation to improve turbine performance reliability and operational decision-making.
Renewable energy plays a critical role in reducing carbon emissions and supporting a more sustainable energy this role your work will directly contribute to improving the efficiency reliability and availability of wind energy assetshelping maximize clean energy generation while minimizing environmental impact. The data systems you design and operate will support real-world operational decisions that enable cleaner power at scale.
You will work directly with operational engineering analytics and external stakeholders to turn high-volume time-series and event-driven data into reliable actionable insights used by 24/7 operations staff.
Key Responsibilities
Design build and maintain end-to-end data systems on AWS supporting real-time and batch wind operations data
Develop hands-on SQL and Python pipelines to ingest transform and serve data from SCADA systems EDGE systems sensors asset management tools and operational applications
Architect and optimize AWS services such as S3 RDS/Aurora Redshift Glue Athena Lambda Step Functions Kinesis and related tooling
Support Remote Operations Center (ROC) use cases including:
Real-time turbine monitoring alerting and Troubleshooting
Performance availability and production reporting
Fault detection root cause analysis and event correlation
Fleet-level operational dashboards and analytics
Design systems that can evolve to support AI-enabled use cases such as:
Predictive maintenance and reliability modeling
Anomaly detection on time-series operational data
AI-assisted operational insights and decision support
Partner closely with ROC operators engineers analysts and customer stakeholders to understand operational workflows and translate them into robust technical solutions
Own data quality latency reliability and observability for operational data pipelines
Tune system performance and manage cloud costs for high-volume always-on workloads
Contribute production code perform peer reviews and participate in operational support as needed
Required Qualifications
10 years of hands-on experience building and operating data systems in production
Strong experience designing and implementing AWS-based data architectures
Advanced SQL skills for data modeling time-series analysis and performance optimization
Strong Python experience for data ingestion transformation orchestration and automation
Experience working with real-time or near-real-time data systems
Solid understanding of data lakes data warehouses and operational analytics platforms
Preferred Qualifications
Experience supporting industrial energy or asset-intensive operations (wind solar utilities manufacturing oil & gas etc.)
Familiarity with SCADA IoT or high-frequency time-series data
Customer-facing experience including working directly with external customers operators or stakeholders to understand requirements present solutions and support production systems
Interest in and aptitude for growing into AI/ML-enabled data systems including supporting data pipelines used for predictive analytics forecasting or anomaly detection
Familiarity with AWS AI/ML services (e.g. SageMaker Bedrock) or exposure to ML concepts is a plus but prior production ML experience is not required
Experience with infrastructure as code (Terraform CloudFormation CDK)
AWS certifications (Solutions Architect Data Analytics or similar)
What Success Looks Like
ROC operators and customers have reliable low-latency access to operational data and insights
Data systems are robust observable and resilient under real-world operational conditions
The platform is well-positioned to adopt AI and advanced analytics over time without major re-architecture
Technical solutions are clearly communicated to both internal teams and external stakeholders
Additional Information
GE Vernova offers a great work environment professional development challenging careers and competitive compensation. GE Vernova is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Required Experience:
Staff IC
Key Skills
- Kubernetes
- S3
- Google Cloud Platform
- Cassandra
- System Architecture
- Redshift
- AWS
- Cloud Architecture
- NoSQL
- UML
- Kafka
- Distributed Systems
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
