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

Nominate & Attend

AWS Data Architect - Market Data

Vertus Partners
London
1 week ago
Create job alert

Contact email:

Job ref:
ADE/HH/0506_1749721043
Startdate:
ASAP
AWS Data Architect - Market Data
We're seeking a hands-on AWS Data Architect to play a lead role in a high-impact initiative building a next-generation data platform from the ground up. This is a rare greenfield opportunity to architect and engineer cutting-edge solutions that will power critical market data workflows across the business.
As a senior technical leader, you'll not only set the architectural direction but also roll up your sleeves to build and optimize scalable data pipelines using the latest cloud-native tools and frameworks. You'll be instrumental in shaping the technical foundation of our platform, from core design principles to implementation best practices.
What You'll Do:
Design and implement end-to-end data architecture on AWS using tools such as Glue, Lake Formation, and Athena
Develop scalable and secure ETL/ELT pipelines using Python, PySpark, and SQL
Drive decisions on data modeling, lakehouse architecture, and integration strategies with Databricks and Snowflake
Collaborate cross-functionally to embed data governance, quality, and lineage into platform design
Lead technical evaluations of new tools and approaches to evolve the platform's capabilities
Serve as a trusted advisor to engineering and business stakeholders on data strategy and architecture
What You Bring:
Deep, hands-on expertise with AWS data services (Glue, Lake Formation, PySpark, Athena, etc.)
Strong coding skills in Python and SQL for building, testing, and optimizing data pipelines
Proven experience designing secure, scalable, and reliable data architectures in cloud environments
Solid grasp of data governance, quality frameworks, and security best practices
A builder's mindset, comfortable leading architectural decisions and also delivering code in production
Bonus Points For:
Experience with modern platforms like Databricks, Snowflake, or other lakehouse solutions
Familiarity with analytics, ML workflows, or financial market data
Why Join Us?
This is your chance to shape a foundational data platform from day one. If you're looking to make a real architectural impact while staying deeply technical, we want to hear from you.
By submitting your details you agree to our T&Cs

#J-18808-Ljbffr

Related Jobs

View all jobs

AWS Data Architect - Market Data

AWS Data Architect - Market Data

AWS Data Engineer

AWS Data Engineer

Senior AWS Data Engineer

Data Architect (Customer Domain)

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.