Staff Engineer (Data)

3 weeks, 1 day ago
Full-time
Lead
Software Development
Arbor

Arbor

Arbor is the leading cloud MIS provider in the UK, empowering schools and MATs to collaborate effectively, save time, and enhance pupil achievement through centralized data management and insightful analytics.

IT Services
51-250

Description

  • Define and promote target architectures that connect transactional, analytical, and AI systems.
  • Lead the end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform, and analytics.
  • Provide hands-on architectural guidance to Technical Leads to support feature delivery, technical debt reduction, and platform improvements.
  • Work with Product Directors to translate product vision into technical deliverables aligned with commercial goals.
  • Lead the shift to an AI-first way of working by architecting the data foundations needed for AI-enabled products.
  • Design future infrastructure for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference at scale.
  • Mentor and coach Technical Leads and Senior Engineers on engineering and architectural excellence.
  • Run architectural reviews and ensure solutions meet quality, reliability, security, and compliance standards.
  • Collaborate with other Staff and Principal Engineers to shape broader technology strategy.
  • Partner with Engineering Management to grow teams, remove systemic bottlenecks, and support strategic goals.

Requirements

  • Extensive experience overseeing data architecture and delivering iterative outcomes across one or more OLAP domains.
  • Strong understanding of data modelling techniques such as Star and Medallion models.
  • Experience with distributed data systems in cloud-native environments such as Snowflake.
  • Experience building and leveraging unstructured data across disparate systems to support product development.
  • Strong communication and influencing skills across both technical and non-technical audiences.
  • Ability to support the growth of engineers and technical leads while contributing in distributed, cross-functional teams.
  • Experience working in an ownership culture where quality, performance, observability, and security are core responsibilities.
  • Clear understanding of how AI-first engineering may change the data ecosystem and ways of working, ideally with worked examples.
  • Experience contributing to or leading technical communities of practice such as chapters, guilds, or architecture councils.
  • Practical knowledge of DataOps principles, including CI/CD for data and orchestration of complex pipelines with AWS, Debezium, Git, and Infrastructure as Code.
  • Commercial knowledge of data security standards, encryption at rest and in transit, and relevant compliance laws.
  • Demonstrable experience optimising SaaS platform spend and using forecasting models.
  • Bonus: AI/ML engineering and MLOps experience, including model deployment, serving, and monitoring.
  • Bonus: Experience with federated learning and/or privacy-enhancing technologies (PETs).
  • Bonus: Direct experience with LLM Ops, including prompt engineering at scale and token cost optimisation.

Benefits

  • Remote working.
  • Salary of £100,000 - £120,000.
  • 32 days holiday including Bank Holidays.
  • Life assurance worth 3x annual salary.
  • AIG Smart Health wellness benefit with 24/7 virtual GP access, mental health support, counselling, and personalised health checks.
  • Private dental insurance with Bupa.
  • Salary sacrifice pension with Scottish Widows.
  • Enhanced family leave, including 20 weeks full pay maternity and adoption leave and 6 weeks full pay paternity leave.
  • Dedicated wellbeing support, including mindfulness, lunch and learns, manager training, and mental health first aid training.
  • Access to Calm and Bippit financial wellbeing coaching.
  • Flexible working arrangements.
  • Dedicated professional development budget for CPD courses, upskilling resources, and professional memberships.
  • One paid volunteer day per year.
  • Dog-friendly offices.
  • Refer-a-friend voucher worth up to £200.

Interested in this position?

Apply directly on the company website

Apply Now

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