Zaizi

Data Architect – SFIA 5

Zaizi

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

Cloud

About the role

  • Lead the design and evolution of data architectures for complex digital services across the UK public sector.
  • Work across multiple delivery teams and stakeholders to define coherent, secure and sustainable data architectures that enable analytics, operational reporting and data-driven services.
  • Combine hands-on architectural design with leadership, assurance and stakeholder engagement.
  • Ensure data solutions align with user needs, organisational strategy, and government standards.

Requirements

  • Define and own data architecture designs that support digital services, analytics and operational decision-making.
  • Set data architecture principles, standards and patterns that enable consistency across teams while allowing appropriate autonomy.
  • Ensure data architectures address the full data lifecycle, including acquisition, storage, usage, sharing, retention and decommissioning.
  • Provide technical leadership and assurance across delivery teams, reviewing designs and guiding implementation.
  • Align data architecture decisions with user needs, business outcomes, security requirements and organisational risk appetite.
  • Support and influence data governance, including metadata management, data quality, lineage and ownership.
  • Engage with senior stakeholders and customers to explain architectural trade-offs and support informed decision-making.
  • Designing end-to-end data architectures for complex systems, including ingestion, processing, storage, analytics and access layers.
  • Strong understanding of data modelling approaches (e.g. conceptual, logical and physical models; analytical and operational models).
  • Experience designing architectures for analytics platforms, such as data warehouses, lakehouse-style platforms and domain-oriented data architectures.
  • Knowledge of data integration patterns, including batch, event-driven and API-based approaches.
  • Applying security-by-design and privacy-by-design principles to data architectures, including access control, classification and auditability.
  • Experience working across cloud platforms, remaining vendor-neutral and selecting technologies based on context.
  • Familiarity with modern data engineering and analytics tooling, including open-source ecosystems.
Benefits
  • 25 days paid holiday, plus bank holidays
  • Vitality medical insurance
  • Workplace Pension 5% employer contribution
  • Group Life Assurance
  • Cycle scheme
  • 5 days a year for approved Training
  • WFH equipment allowance
  • Buy / Sell Holiday
  • 2 days paid volunteering days
  • Flexible working
  • Work on exciting projects - make a difference
  • Empowered to make decisions
  • Encouraged to fail fast and learn quickly
  • 1-2-1 and team coaching / training available to all our staff

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata modellingdata integration patternsanalytics platformsdata governancemetadata managementdata qualitysecurity-by-designprivacy-by-designcloud platforms
Soft skills
leadershipstakeholder engagementcommunicationdecision-makingassuranceinfluence