At a Glance
- Tasks: Design and develop innovative AI solutions using Databricks and Azure for a leading energy trading company.
- Company: Join a world-leading energy trading firm with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to lead projects and mentor others in a collaborative environment.
- Why this job: Make a real impact in the energy sector while working with advanced AI technologies.
- Qualifications: Strong experience in Azure, Databricks, and enterprise architecture; trading/financial services experience preferred.
The predicted salary is between 70000 - 90000 £ per year.
Exciting opportunity for a Solution Architect with strong Databricks, AI and Azure experience to join a World Leading Energy Trading company and work on the Solution and Data Architecture of a new AI Platform.
Must have strong experience in Azure, Databricks, Enterprise Architecture and AI based Code development, ideally gained from working with a large Trading/Financial organisation.
Roles and Responsibilities
- Primarily an individual contributor but can be responsible for a small team.
Main scope of work is to provide solution architecture development, consultancy and assurance to projects, making sure applications are well designed and conform to company standards and reference/segment architectures.
- Translates the guidelines and standards into practice and solves common technical challenges and provides technical recommendations which have a perceptible impact on local business performance; actively drives the identification, development and implementation of new technologies and opportunities to optimise technology/IT systems.
Contributes to the training and guidance of other professionals in the field.
May represent the Company externally as a subject matter expert with suppliers, customers and external agencies.
Empowered to make decisions on solutions within guidelines.
- Applies TOE standards and raises step-outs if needed.
Applies the standard architecture tools for creating and storing key architecture artefacts (IBM System Architect, Power Designer and/or Pro Vision); fosters re-use.
- Manages the relation with a customer base on senior levels of business leadership.
- Understands the IT Strategic Roadmap and applies within the context of their organisational assignment.
Uses the related reference architectures and roadmaps for Cloud, Mobile, Integration, Open Source, Big Data, etc.
Mandatory skills
- Strong experience in Azure, Databricks, Enterprise Architecture and AI based Code development
- Energy Trading is a big plus but any Trading or Financial Services experience will be suitable
- Strong stakeholder management, pro-active communication, engage across teams
- Strong communication skills (written and verbal), communicate viewpoints and decisions using content appropriate for the audience
- Business skills, apply industry sector knowledge, establish linkage between business
- #J-18808-Ljbffr
AI & Databricks Solution Architect employer: Eaglecliff
Eaglecliff is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, you will have access to continuous learning opportunities and mentorship as you lead Agile practices within a prestigious Energy Trading & Commodities company. Join us to be part of a dynamic team where your contributions are valued and impactful.
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We think this is how you could land AI & Databricks Solution Architect
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We think you need these skills to ace AI & Databricks Solution Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eaglecliff. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
