Arbor Education
StaffEngineer(Data)
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“Staff Engineer (Data) at Arbor Education. Skills: Data Architecture, AI Strategy, Data Lifecycle Management. Define and evangelise target architectures. Be a leader for data lifecycle”
What You'll Achieve.
Deliver strategic business objectives; Ensure data remains competitive advantage; Deliver value from OLAP and AI capabilities; Ensure OLTP foundations built for scale; Drive productivity gains
Industry & Context.
Energised by complex problems
No visa sponsorship
What They're Looking For.
Must Have
Extensive experience overseeing data architecture, track record of delivering iterative outcomes across one or more OLAP domains, understanding of data modelling techniques (Star, Medallion, etc), distributed data systems within cloud-native environments (Snowflake, etc), Experience in building and leveraging unstructured data across disparate systems, Examples of communication and influencing across technical and non-technical audiences, An ability to support the growth of engineers and technical leads, Demonstrable experience working in an ownership culture where quality, performance, observability, and security are core responsibilities, An understanding and opinion on how AI-first engineering will change the data ecosystem and ways of working, Examples of contributing to or leading technical communities of practice, Practical knowledge of DataOps principles, Good commercial knowledge of data security standards, encryption at rest/transit, and relevant compliance laws, Platform financial acumen
Nice to Have
AI/ML Engineering & MLOps, model deployment/serving and monitoring, Experience with federated learning, privacy-enhancing technologies (PETs), Direct experience with LLM Ops, prompt engineering at scale, token cost optimisation
What You'll Do.
Define and evangelise target architectures
Be a leader for data lifecycle
Provide hands-on guidance
Collaborate with Product Directors
Lead AI-First way of working
Architect infrastructure for LLM orchestration
Mentor and coach Technical Leads/Senior Engineers
Act as a role model for technical leadership
Head up architectural reviews
Collaborate with Staff Engineers
Partner with Engineering Management
How You'll Work.
Team & Collaboration
Work collaboratively with multiple teams; Partner with Technical Leads; Collaborate with Product Directors; Collaborate with Staff Engineers; Partner with Engineering Management
Communication Scope
Communication and influencing across technical and non-technical audiences
Full Job Description
**Location:** Remote **Salary:** £100,000 - £120,000 ### About us At Arbor, we’re on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn’t mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren’t just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. ### About the role As a Staff Engineer you will help drive architecture and technical strategy for our Data domain, spanning the entire journey from transactional source to analytical insight. You will evolve how data is leveraged across Arbor, delivering value that ensures our OLAP and AI capabilities provide a competitive edge and our OLTP foundations are built for scale. It’s a wide impacting and exciting role, crucial for Arbor's next stage of growth. We’re looking for candidates who are highly collaborative, energised by complex problems, and have a proactive approach. You will work collaboratively with multiple teams, Technical Leads, Product Directors, and Engineering Leadership to deliver strategic business objectives, all while reimagining ways of working to ensure we stay at the forefront of the industry’s AI evolution. ** Core responsibilities** * Define and evangelise target architectures that bridge our transactional, analytical, and AI systems, ensuring our data remains a competitive advantage. * Be a leader for our end-to-end data lifecycle
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