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- Tasks: Lead innovative data engineering projects using Azure technologies for Fortune 500 clients.
- Company: Fractal is a strategic AI partner, empowering decisions with imagination and intelligence.
- Benefits: Enjoy a competitive rate, flexible work environment, and a culture that values creativity.
- Why this job: Join a recognised Great Place to Work and push boundaries in technology solutions.
- Qualifications: Bachelor’s degree in Computer Science with 15+ years in tech; Azure expertise required.
- Other info: Remote work options available; collaborate with a global team of professionals.
The predicted salary is between 48000 - 72000 £ per year.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.
As a Lead Architect (Azure), you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Responsibilities:- Be an integral part of large-scale client business development and delivery engagements.
- Develop the software and systems needed for end-to-end execution on large projects.
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions.
- Build the knowledge base required to deliver increasingly complex technology projects.
- A bachelor’s degree in Computer Science or related field with more than 15 years of technology experience.
- Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space.
- Software development experience using Object-oriented languages (e.g., Python, PySpark) and frameworks.
- Stakeholder Management.
- Expertise in relational and dimensional modelling, including big data technologies.
- Exposure across all the SDLC process, including testing and deployment.
- Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.
- Good knowledge of Python and Spark are required.
- Experience in ETL & ELT.
- Good understanding of one scripting language.
- Good understanding of how to enable analytics using cloud technology and ML Ops.
- Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus.
- Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure).
- Characteristics of a forward thinker and self-starter.
- Ability to work with a global team of consulting professionals across multiple projects.
- Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems.
- Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success.
- Good understanding of the CPG (Consumer Packaged Goods) domain is preferred.
- Data Ops, ML Ops.
- Deep expertise in Azure Databricks, ETL frameworks.
- Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.
Technical Architect - Data Engineering / Azure employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Architect - Data Engineering / Azure
✨Tip Number 1
Familiarise yourself with the specific Azure components mentioned in the job description, such as Azure Data Factory and Azure Databricks. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Azure. Engaging in relevant online communities or attending meetups can provide insights and connections that may lead to opportunities at Fractal.
✨Tip Number 3
Prepare to discuss your experience with large-scale projects and how you've applied software engineering principles in real-world scenarios. Be ready to share specific examples that demonstrate your problem-solving abilities and innovative thinking.
✨Tip Number 4
Research Fractal's company culture and values, particularly their focus on imagination and intelligence. Tailoring your conversation to align with their mission can show that you're not just a fit for the role, but also for the company ethos.
We think you need these skills to ace Technical Architect - Data Engineering / Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, Azure technologies, and software development. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your ability to solve complex problems. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your expertise in Microsoft Azure components, Python, and ETL processes. Provide examples of how you've successfully implemented these skills in previous roles.
Highlight Soft Skills: Fractal values passion and customer focus. Include examples of your stakeholder management experience and your ability to work collaboratively in a global team setting.
How to prepare for a job interview at Fractal
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Azure and data engineering during the interview. Be prepared to discuss specific projects where you've used Azure Data Factory, Azure SQL, or Databricks, and how you tackled challenges in those projects.
✨Demonstrate Problem-Solving Skills
Fractal values creative solutions to complex problems. Prepare examples of how you've approached difficult technical challenges in the past, focusing on your thought process and the innovative solutions you implemented.
✨Understand the Company Culture
Familiarise yourself with Fractal's mission and values. During the interview, express how your personal beliefs align with their vision of empowering imagination with intelligence, and how you can contribute to their culture of innovation.
✨Prepare for Stakeholder Management Questions
Given the role's emphasis on stakeholder management, be ready to discuss your experience working with clients and cross-functional teams. Share specific instances where you successfully managed expectations and delivered results in a collaborative environment.
