Principal Architect
London, United Kingdom
Fractal
Fractal is a strategic analytics partner to global Fortune 500 companies & powers every human decision in the enterprise with AI, engineering & design.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.
Principal Architect
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
Location: London, UK
Responsibilities:
Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision.
Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance.
Build and maintain strong relationships with senior client leaders and cross-functional stakeholders.
Proactively understand client needs and align them with Fractal’s value propositions, proposing innovative and comprehensive solutions.
Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions.
Be willing to take a hands-on approach to understand complex contexts and underlying client requirements.
Participate in the creation and sharing of best practices, technical content, and new reference architectures.
Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms.
Work with data engineers and data scientists to develop architectures and solutions.
Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy.
Success Profile:
In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have:
12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains.
Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc.
Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.
Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance.
Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects.
Knowledge of general programming languages and frameworks, particularly Python and/or Java.
Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines.
Ability to design and implement future-proof, complex global solutions using GCP services.
Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems.
Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus.
Preferred Qualifications
Experience in container technologies, specifically Docker and Kubernetes.
Experience or knowledge of DevOps on GCP.
Google Cloud Professional Cloud Architect Certification.
Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships.
Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided.
Experience with AWS, especially in the context of hybrid cloud setups.
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Big Data BigQuery CI/CD Data governance Data management Dataproc Data Warehousing DevOps Docker Engineering GCP Google Cloud Java Kubernetes Machine Learning Microservices MLOps Pipelines Python Streaming Vertex AI
Perks/benefits: Career development
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