Team Lead, Data Services and Infrastructure

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.

A day in the life of an AES CETeam Lead, Data Services and Infrastructure will include, but is not limited to:

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

The Team Lead - Data Services and Infrastructure supports a larger O&M and Data Analytics organization and serves as the primary owner of data platform performance and reliability. This requires strong experience with data architecture, pipeline development, cloud platforms, and operational data systems (e.g., SCADA/DAS), as well as the ability to lead teams and influence cross-functional stakeholders. Excellent communication, prioritization, and strategic planning skills are essential.

The position may include up to 5-10% travel to partner offices and project locations.

Key Responsibilities

Operations

• 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

Collaboration

• 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

• Together with the CE Operations Technology and Digital teams, 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

• As a subject matter expert, advise other team members across the organization on best practices for data-related projects

Growth and Leadership

• 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

• This role participates in:

• Budget meetings

• Meetings with O&M Leaders

• Meetings with Regional Leaders

• Meetings with COOs and Executives

• Participates in the budgeting process with O&M leaders, FP&A, Portfolio Asset Management and Commercial team

Skills and Qualifications

Primary Qualifications

• 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

"Plus" Qualifications

• 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

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization