Team Lead, Data Services and Infrastructure

AES US•Louisville, CO

3d•Hybrid

About The Position

AES Clean Energy (CE) is seeking a Team Lead, Data Services and Infrastructure to support the Operations and Maintenance (O&M) Engineering team by leading the development, management, and scaling of data systems that underpin the CE portfolio’s analytics capabilities. This individual will play a critical role in ensuring the reliability, scalability, and accessibility of data across AES CE’s growing fleet of Solar, Wind, and Battery Energy Storage System (BESS) assets. This role is responsible for overseeing both data infrastructure and data services functions, including data pipelines, architecture, data quality, and reporting systems. The Team Lead will build and manage a small, high-impact team while also owning the tools and platforms that enable the broader Data Analytics organization. The ideal candidate will bring a balance of technical expertise, leadership capability, and strategic thinking to support a rapidly growing and evolving data environment. At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today. AES’s mission is to improve lives by accelerating a safer and greener energy future. We are a global, agile, cohesive organization with an employee engagement level akin to a startup company. AES businesses throughout the world are often recognized as great places to work. Our people share a passion to help meet the world’s current and increasing energy needs, while providing communities and countries the opportunity for economic growth due to the availability of reliable, affordable electric power.

Requirements

Undergraduate degree in Engineering, Computer Science, Data Science or equivalent technical field
5+ years of experience in data engineering, data architecture, or related roles
Advanced proficiency with SQL and Python
Experience designing and maintaining scalable data pipelines (ETL/ELT)
Experience with cloud-based data platforms (e.g. GCP, Azure, or AWS)
Experience working with large-scale, time-series datasets (e.g. from SCADA/ DAS systems)
Strong understanding of data modeling, data architecture, and system design principles
Experience with data governance frameworks and best practices
Successful experience working and managing projects across teams, especially with agile methodologies
Strong analytical thinking and problem-solving skills
Excellent written and verbal communication skills
High degree of commitment to a quality safety culture and an incident-free work environment
Personal values consistent with those of The AES Corporation

Nice To Haves

Master’s degree in Engineering, Computer Science, Data Science, or equivalent
Experience with the technical/electrical aspects of Solar PV, Wind, and Battery Energy Storage Systems (BESS)
Experience supporting or building analytics/reporting environments (Power BI, Tableau, etc.)
Familiarity with orchestration and workflow tools (e.g. Prefect, Airflow)
Experience with Artificial Intelligence and Machine Learning
Spanish language skills

Responsibilities

Leading and developing a team responsible for data pipelines, architecture, data quality, and reporting services
Designing, managing, and optimizing data infrastructure supporting Solar, Wind, and BESS analytics use cases as part of the Clean Energy Data Analytics and Reporting (CEDAR) platform
Owning and administrating core data engineering and analytics platforms used by the Data Analytics team
Ensuring high data quality, reliability, and availability across CEDAR and other operational and reporting systems
Collaborating with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions
Oversee the design, development, and maintenance of data pipelines and architecture supporting the Clean Energy Data Analytics and Reporting (CEDAR) platform
Ensure scalable, reliable ingestion and processing of operational data from SCADA, DAS, and other external data sources to the GCP data lake
Build and lead a team of data engineering and data architecture professionals (initially 2 roles) to support growing data needs
Oversee the Data Services function, ensuring high standards for data quality, integrity, and reporting reliability
Own and administrate core data engineering and analytics tools for the broader Data Analytics team
Establish and monitor data quality frameworks, validation processes, and system performance metrics
Drive standardization of data models, pipelines, and architecture to support long-term scalability
Participate in Job Safety Assessments and Safety Walks to identify job-site hazards when traveling to sites
Collaborate with the Analytics Engineering team to ensure data products are built on scalable, reliable infrastructure
Partner with O&M Engineering to align data systems with operational analytics needs and priorities
Work to deliver successful data pipelines from DAS providers to the GCP data lake
Lead integration engineering efforts to improve data systems and workflows across teams
Serve as a key liaison between data platform teams and end users, ensuring data accessibility and usability
Advise other team members across the organization on best practices for data-related projects
Build, mentor, and develop a high-performing team, fostering a culture of accountability, innovation, and continuous improvement
Define and prioritize the data infrastructure roadmap in alignment with organizational goals and portfolio growth
Identify opportunities to improve efficiency, scalability, and reliability of data systems and processes
Lead adoption of new tools, technologies, and best practices in data engineering and analytics
Contribute to strategic planning efforts related to data, analytics, and digital transformation across AES CE
Promote strong data governance practices, including documentation, standards, and consistency across teams
Improve and develop processes for utilizing data to ensure the operation of safe, quality and high-performance projects
Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved