Data Architect

Energy storage is the most exciting area in energy today. Massive amounts of energy storage are required if renewable energy is to take its rightful place on the electric grid. Invinity provides an alternative to the most common type of battery, lithium-ion because the battery technology that works so well in our pockets doesn’t work as well at the grid scale; it wears out, limits use, and even catches fire.

Manufactured as a standardised product in a factory, Invinity’s vanadium flow batteries don’t degrade, won’t catch fire, and can be operated continuously from full charge to full discharge for over 30 years. Invinity has 75 megawatt-hours of its modular battery systems in 82 projects across 15 countries - more than any other company in the space. We’ve deployed the largest flow battery systems in the U.S., Canada, Australia, and the UK, and are supported by the UK's National Wealth Fund, some of the world’s leading institutional investors and our projects are backed by major institutions including the U.S. Department of Energy and the UK Government.

A compelling product and recent funding put Invinity in a position to grow dramatically as it addresses the global imperative for stationary energy storage. Join us as we help transform renewable energy into a stable and dependable contributor to the transition to net zero.

Invinity has operations in the UK, Canada and the U.S. and trades publicly in the UK on AIM and in the U.S. on OTCQX. For more information about us visit our webpage.

The software team is starting development on our next generation data management and analytics platform. This complements our recently released next-generation Endurium Core software platform that provides integrated control of all aspects of the battery system and associated plant infrastructure.

In this role, you will be responsible for designing, specifying and implementing a cloud-based data platform capable of managing large amounts of data, ingesting many gigabytes daily, and supporting reporting, analytic and machine learning needs for internal and external customers.

Your work ensures that data systems are reliable, scalable, observable, and cost-efficient. You’ll partner with cross-functional teams including scientists, engineers, data scientists and commercial representatives to ensure the platform meets the evolving needs of our business and our users.

$140,000 - $155,000 a year

AtInvinityEnergy Systems, weare dedicated to providingequal employment opportunities to all individuals and practicing wage transparency to ensure fairness and equity. The salary for this position ranges from $140,000to $155,00per year and will bedeterminedby a combination of the interview process, prior work experience, and educational background.

If you are great at what you do, willing to engage with our collaborative culture, and motivated by making a difference in the world, consider joining us.InvinityEnergy Systems is small enough that every team member plays a critical role in our daily business, but large enough toparticipatein landmark clean energy projects around the world.

At Invinity, we are actively focused on increasing the representation of women across all levels of our organisation, particularly within our engineering, manufacturing and technical teams. We believe that diverse perspectives drive better innovation, and we are committed to providing a working environment where women can thrive, lead, and progress their careers in STEM.

We support this through inclusive hiring practices, equal pay for equal work, flexible working options, leadership development and continuous review of our policies to ensure they meet the needs of all genders and life stages.

Our culture is one of respect, inclusion, and empowerment — where every individual can contribute fully and confidently to a sustainable energy future.

Responsibilities

• Design and implement the data infrastructure platforms including data ingestion, data consumption, stream processing
• Build and support infrastructure forMLOps, including model registries, feature stores, and serving pipelines
• Optimise storage, compute, and cost management strategies for big data workloads
• Drive platform automation through CI / CD, Infrastructure-as-Code, and observability practices

Required Experience and Qualifications

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