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

Nominate & Attend

Data Architect (City of London)

Anson McCade
City of London
3 days ago
Create job alert

Role:Senior or Lead Data Architect

Location:UK-wide, with a preference towards London

Salary:£80,000 - £130,000 + Bonus + Benefits Package

Clearance:Must be eligible to work in the UK


We’re working with a world-leading consultancy that’s delivering cutting-edge data and cloud architecture across some of the UK’s most recognisable enterprises. As their Data & Intelligence practice continues to expand, we’re looking for experiencedSenior Data Architectsas well as provenLead Data Architectsto join the team. Whether your strength lies in hands-on solution architecture or enterprise-wide strategy, there’s a place for you to lead, shape and scale modern data capabilities across sectors like public services, finance, telco, manufacturing, and retail.

About the Role


You’ll be embedded into high-impact client projects, defining, designing, and delivering modern data platforms, from initial strategy and modelling through to governance, integration, and delivery. Roles are tailored to experience, Senior Architects will lead solution and delivery workstreams, while Lead Architects will guide the overarching vision and architectural direction across entire programmes and client estates.


Key Responsibilities

Senior Data Architects:

  • Lead the design and delivery of cloud-native data solutions using modern platforms (e.g. Databricks, Snowflake, Kafka, Confluent)
  • Architect data lakes, lakehouses, streaming pipelines, and event-driven architectures
  • Oversee engineering teams and collaborate with analysts and QA functions
  • Translate complex requirements into scalable, robust data products and platforms
  • Support governance, data security, and compliance (GDPR, HIPAA, etc.)


Lead Data Architects:

  • Define enterprise-level data strategies across business and technology domains
  • Develop conceptual/logical data models, operating models, and architecture frameworks
  • Act as trusted advisor to senior client stakeholders across multiple industries
  • Shape pre-sales propositions and support go-to-market strategies in data architecture
  • Lead hybrid teams (on/near/far shore) and manage cross-functional delivery


Core Experience:

  • Proven track record indata architecture, either from a delivery or enterprise strategy perspective
  • Deep experience withcloud platforms(Azure, AWS, GCP) and modern data ecosystems (Spark, Databricks, Kafka, Snowflake)
  • Strong understanding ofData Mesh,Data Fabric, and data product-led approaches
  • Data modelling expertise (relational, dimensional) and familiarity with tools likeErwin,Sparx,Archi
  • Experience withETL/ELT,SQL/NoSQL, Python or Java, and visualisation/BI tools
  • Knowledge ofdata governance, compliance, and security frameworks
  • Comfortable operating inAgile environments(Scrum, Kanban, SAFe)


Ideal Candidate:

  • Experience inconsulting-led engagements, including stakeholder management and business case development
  • Sector exposure intelecoms, finance, insurance, public sector, or similar
  • Ability to “join the dots” between business needs, tech architecture, and data-driven innovation
  • A collaborative, delivery-focused mindset with strong interpersonal and leadership skills


Whether you’re an experiencedSenior Data Architectready to step into a broader leadership role, or aLead Data Architectlooking for a new challenge across enterprise-scale programmes, this is an opportunity to shape the data foundations of some of the UK’s most forward-thinking organisations.


Interested?

Apply now for a confidential discussion. Multiple roles available, and interviews are happening now.


Reference: JWH/AMC/DAL1

Related Jobs

View all jobs

Enterprise Architect - Finance

Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote

Data Architecture Lead

Data Architect

Data Architect

Data Architect

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.

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.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.