National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect (Trading) (Basé à London)

Jobleads
London
4 days ago
Create job alert

Join to apply for theData Architect (Trading)role atKeyrock

Join to apply for theData Architect (Trading)role atKeyrock

About Keyrock

Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.

Data Architect

About Keyrock

Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.

Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.

We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.

At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.

Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

  • Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.
  • Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
  • Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
  • Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
  • Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
  • Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
  • Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
  • Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
  • Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.
  • Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

  • Extensive experience in data architecture design and implementation.
  • Strong knowledge of data engineering principles and practices.
  • Expertise in data warehousing, data modelling, and data integration.
  • Experience in MLOps and machine learning pipelines.
  • Proficiency in SQL and data manipulation languages.
  • Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.

Education & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Preferred certifications (optional):
    • AWS Cloud Data Engineer
    • AWS Machine Learning Ops Engineer

Leadership & Collaboration

  • Passion for building scalable, reliable, and secure systems in a fast-paced environment.
  • Ability to translate complex technical concepts into clear, actionable insights for technical teams.
  • Strong interpersonal skills with the ability to work effectively across cross-functional teams.
  • Excellent problem-solving and analytical skills.

Our recruitment philosophy

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

Our offer

  • Competitive salary package
  • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
  • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

https://keyrock.com/careers/

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology

Referrals increase your chances of interviewing at Keyrock by 2x

Get notified about new Data Architect jobs inLondon, England, United Kingdom.

London, England, United Kingdom 2 weeks ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 9 months ago

Greater London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 month ago

Smart Building - Customer Solution Architect 80-100%

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 12 hours ago

Technical Solution Architect - Procurement & Supply ChainPrincipal Solutions Architect - (PubSec)

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Enterprise Architect Manager/Senior Manager - CMT

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 5 months ago

Solution Architect - D365/Power Platform

London, England, United Kingdom 1 week ago

Technical Solution Architect - Procurement & Supply Chain

London, England, United Kingdom 2 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 days ago

Senior Principal Data Governance, Internal Audit

London, England, United Kingdom 5 days ago

London, England, United Kingdom 11 hours ago

London, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Solution Architect

Data Architect

Data Architect

Data Architect

Data Architect (Trading) (Basé à London)

Data Architect - Data Modelling - Dimensional - Relational - Data Vault (Basé à London)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

Jobs

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Jobs

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.