Staff Engineer

Company Overview We’re the world’s largest independent renewable energy company, driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero‑carbon energy. We know that achieving our ambitions would be impossible without our people. We continually invest in our workforce, promote personal and professional growth, and offer a rewarding work environment with competitive benefits including pension schemes, flexible working, private healthcare, and generous leave policies. Position Summary We are looking for a Staff Engineer (Solution Architect) to join our Digital Solutions business. This role is pivotal in shaping the technical direction of our asset performance management software, ensuring scalable, secure, and maintainable solutions across cloud, data, and application domains. Accountabilities Define and communicate architectural vision and strategy across multiple engineering teams. Design and implement cloud‑native solutions with a strong emphasis on leveraging Databricks for analytics, data engineering, and machine learning workflows. Collaborate with product managers, data scientists, platform engineers, and software developers to deliver integrated solutions that span infrastructure, data pipelines, and application layers. Provide hands‑on guidance and support in implementing architectural patterns and best practices. Conduct technical reviews and ensure alignment with security, compliance, and performance standards. Champion modular design and integration strategies. Drive adoption of DevOps, CI/CD, and infrastructure‑as‑code across teams. Evaluate emerging technologies and guide their adoption where appropriate. Knowledge Deep understanding of cloud architecture (Azure preferred), data analytics, and distributed systems. Strong grasp of software design principles, including domain‑driven design and event‑driven architecture. Familiarity with data architecture concepts such as lakehouse, OLTP/OLAP, and real‑time processing. Knowledge of security, identity, and compliance in cloud environments. Understanding of enterprise integration patterns and API management. Skills Data‑driven approach to architectural decision making. Proficiency in one or more programming languages (ideally Python or Node/TypeScript). Strong system design and documentation skills. Excellent communication and stakeholder engagement abilities. Comfortable working in dynamic environments with shifting priorities and cross‑disciplinary teams. Ability to mentor engineers and influence technical direction across cross‑functional teams. Experience 8+ years in software or data engineering, with at least 3 years in architectural or technical leadership roles. Proven experience designing and delivering complex cloud‑native, data‑driven solutions. Experience working in cross‑functional teams and influencing at multiple levels. Hands‑on experience with Databricks, including Delta Lake, notebooks, and MLflow (highly desirable). Exposure to both batch and streaming data systems, and integration with analytics or ML workflows (preferably using Databricks). Experience working with data analytics platforms would be advantageous. Qualifications Relevant cloud or architecture certifications (e.g., Azure Solutions Architect Expert). Demonstrated commitment to continuous learning and technical excellence. Diversity & Inclusion At RES we celebrate difference as we know it makes our company a great place to work. We encourage applicants from diverse backgrounds, ideas, and perspectives, fostering teams that solve complex problems and design practical solutions for our clients. Seniority Level Associate Employment Type Full‑time Job Function Engineering and Information Technology #J-18808-Ljbffr