Technical Architect - Data Engineering / Azure

Technical Architect - Data Engineering / Azure Contract 6 months Rate £400 per day outside IR35 Location: London 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. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. 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.

Qualifications & Experience:

• 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.

Skills:

• 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.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.