Arbor Education
StaffEngineer(Data)
“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
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