Senior Data Architect

Intellect Group
London
5 days ago
Create job alert

Job Title:Senior Data Architect

Location:Hybrid (London, UK)

Salary:£75,000–£135,000 per annum, plus20% Bonusand Benefits


About the Role:

Our client is a leading professional services firm with a strong UK presence and global reach, delivering expert audit, tax, advisory, and risk solutions. As part of their ongoing investment in digital transformation, they are scaling their data capabilities to better serve clients in regulated and data-intensive sectors.


This newly createdSenior Data Architectrole will focus on designing and implementing data architecture solutions forTier 1 and Tier 2 insurance companies and asset management clients. It’s a unique opportunity to shape enterprise-level data platforms in environments where data governance, real-time analytics, and regulatory compliance are essential.


The Role:

We are seeking aSenior Data Architectto lead the design and delivery of robust, cloud-native data architectures tailored to large-scale financial services organisations. You’ll work closely with both internal teams and client stakeholders to build secure, scalable, and insight-driven data platforms that support decision-making across underwriting, claims, investment, and risk functions.


This is a strategic leadership role for someone who combines deep technical knowledge with a strong understanding of the insurance and asset management landscape.


Key Responsibilities:

  • Architect scalable and secure data platforms usingMicrosoft Azure,Databricks, and modern lakehouse patterns.
  • Design and implement data solutions aligned with the needs ofTier 1 and Tier 2 insurance and asset management clients, considering sector-specific regulatory and operational demands.
  • Define and promote enterprise data modelling, real-time data processing, and cloud-native architecture best practices.
  • Implement robust data governance, quality, and lineage frameworks to ensure transparency and compliance.
  • Collaborate with cross-functional teams to align architecture with business needs and data strategies.
  • Mentor engineers and analysts, providing architectural direction and promoting technical excellence.
  • Stay up to date with emerging data technologies and trends, continuously improving platform capability and performance.


Essential Criteria:

  • Extensive experience as aSenior Data ArchitectorLead Data Engineer, ideally within consulting or large enterprise environments.
  • Proven expertise withAzure,Databricks, and associated data tooling (e.g., Synapse, Delta Lake, Azure Data Factory).
  • Strong understanding of data architecture within theinsuranceandasset managementindustries, including regulatory and compliance requirements.
  • Proficiency inSQL,Python, and modern data pipeline design (ETL/ELT).
  • Experience with both batch and streaming data processing architectures.
  • Strong communication and stakeholder engagement skills, particularly with business users in financial services.
  • Strategic thinker with the ability to lead end-to-end architecture initiatives and manage change in complex environments.


What’s on Offer:

  • Competitive base salary of£75,000–£135,000per annum.
  • 20% annual bonus.
  • Comprehensive benefits package including pension, private medical insurance, and wellness programmes.
  • Flexible hybrid working from central London offices.
  • High-impact role working with leadinginsurance firms and asset managers.
  • Long-term career growth within a firm committed to innovation and digital excellence.


How to Apply:

If you're an experienced data leader with a passion for building modern data platforms in financial services, we’d love to hear from you. Please apply with your most up-to-date CV.

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Senior Data Engineer

Senior Data Engineer - Contract

Senior Data Engineer

Senior Clinical Data Modeller

Get the latest insights and jobs direct. Sign up for our newsletter.

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 in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.