Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Enterprise Data Architect

Sanderson
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Enterprise Data Architect

Enterprise Data Architect

Enterprise Data Architect

Enterprise Data Architect

Enterprise Data Architect

Enterprise Data Architect

Get AI-powered advice on this job and more exclusive features.

This range is provided by Sanderson. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Sanderson

Senior Data Architect / Strategic Data Architect / Data Solution Architect

Time on site: 1day a week on site in London ideally but very flexible for the right person, would accommodate 1 day a month.

Start Date:ASAP but would wait for 4 weeks notice

Interview process:2 Stages

Overview:

We've partnered with a brilliant organisation who are looking to bring in a Strategic Data Architect that will lead the evolution and implementation of a unified data architecture across customer and operational domains. This is a strategic, delivery-focused engagement with the objective to produce clear, measurable outputs aligned to our clients transformation roadmap.

You'll engage with technical, business stakeholders and clients to design and implement the Data strategy for integrated data solutions aligned with both internal systems and strategic goals. You'll work as part of teams building solutions that make data accessible to enable evidence-based optimisation. They are passionate about culture and want to bring in someone who is collaborative, positive in nature with excellent communication skills.

Whilst the tech experience isn't essential as the emphasis of this position is to work across the business to understand Data objectives and requirements, and partner with the Principle Data Engineer to create Solutions. The core tech stack is Snowflake, AWS, DBT.

Overview of the role:

  • Work with Engineering, Product, Data, and Commercial leaders to identify and prioritise architectural opportunities.
  • Align data architecture principles with strategic business and technology goals.
  • Present architectural findings, roadmaps, and decisions to both technical and non-technical audience
  • Define and maintain a coherent data architecture spanning customer, operational, and analytical domains.
  • Design semantic models and logical data layers to support trusted reporting and analytics.
  • Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM).
  • Recommend standards for data modelling, master/reference data, and metadata governance.
  • Collaborate with engineering, product, and commercial leaders to align architecture with business needs.
  • Evaluate third-party APIs and reverse-engineer live system data models as needed.
  • Author agile stories and support engineering teams throughout development.
  • Support testing, reconciliation, and integration verification activities.
  • Delivers work packages collaboratively, with clarity on scope, measures of success, and technical integrity
  • A comprehensive Enterprise Data Domain Map, aligned with organisational functions and platforms
  • Evaluation and recommendation of semantic and physical data architecture alignment across customer and operational systems
  • Support the development of the “data passport” concept for existing and new datasets in line with enterprise governance requirements
  • Design patterns and integration guidance for evolving our data product strategy
  • Collaborate with Data Governance Leads and Data BAs to design semantic models and logical data layers to support trusted reporting and analytics.
  • Recommend standards for master data and reference data governance.
  • Support adoption of federated governance, metadata management, and lineage tooling
  • Support the development and implementation of a “data passport” model — a metadata construct that travels with datasets across the estate, capturing critical attributes such as ownership, purpose, classification, expiry, and governance status to ensure transparency and control.

Key responsibilities:

  • Define and maintain a coherent data architecture spanning customer, operational, and analytical domains.
  • Work with Principal Data Engineer and other data leaders to design a scalable architecture, ensuring compliance, resilience, and security across cloud-based environments.
  • Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM).

Core skills and experience:

  • Proven experience designing scalable data architectures in cloud and hybrid environments.
  • Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks.
  • Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP).
  • Understanding of security principles including role-based access control.
  • Experience with legacy-to-cloud data migration and API integration testing (e.g. using Postman).
  • Experience leading data strategy and architecture delivery across complex environments.
  • Broad awareness of IT architecture including networking and security considerations.
  • Familiarity with Agile methodologies, TDD/BDD, and modern CI/CD practices.
  • Strong communication and stakeholder influence skills.
  • Practical experience with a major cloud platform (AWS, Azure, or GCP).
  • Hands-on experience with Snowflake and dbt.
  • Familiarity with varied data formats including CSV, JSON, and XML.
  • Deep understanding of data modelling and data architecture principles

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesFinancial Services and Retail

Referrals increase your chances of interviewing at Sanderson by 2x

Sign in to set job alerts for “Data Architect” roles.

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 hours ago

London Area, United Kingdom £100,000.00-£120,000.00 11 hours ago

London, England, United Kingdom 3 weeks ago

Data Architect - 18 month FTC London/Hybrid - Up to £74k

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 hour ago

London, England, United Kingdom 2 months ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

Isleworth, England, United Kingdom 1 week ago

Big Data Architect (Open source contributor)

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

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

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Careers

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Jobs

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.

🍪 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.