Recruiting now











| Posted: | 03/06/26 | |
| Recruiter: | Careerwise | |
| Reference: | 3117421035 | |
| Type: | Contract | |
| Disciplines: | System Architect | |
| Salary: | Competitive £700/day Outside IR35 | |
| Location: | London | |
| Description: | Senior Databricks Architect/Lead Databricks Engineer - Salesforce Data Architecture exp is a MUST Remote (UK) £700/day Outside IR35 Initial 12-Month Contract | Long-Term Programme | Poosible Extension We're seeking an exceptional Senior Databricks Architect with a strong hands-on Data Engineering background to join a major long-term transformation programme. This is not a pure architecture role. You'll be a Databricks specialist who remains close to the technology, designing and building enterprise-scale data solutions while driving engineering excellence across critical data platforms. You'll take ownership of delivering robust, scalable, and production-grade data solutions within a modern Databricks ecosystem, ensuring platforms are governed, secure, maintainable, and optimised for long-term growth. Key Responsibilities Architect, build and optimise enterprise-grade data solutions within Databricks Design and implement scalable Delta Lake data architectures following Medallion principles Lead data engineering delivery across multiple strategic workstreams Develop highly resilient, production-ready pipelines with strong operational controls Drive data governance, security, lineage and compliance best practices Collaborate with product, engineering and business teams to deliver trusted data assets Mentor internal engineering teams and establish engineering standards Core Workstreams Product Data Ingestion Design and maintain large-scale ingestion pipelines Integrate assessment, content and product data into shared enterprise data platforms Ensure data quality, consistency and operational reliability AI & GenAI Feature Enablement Build and maintain data foundations powering LLM and GenAI capabilities Design schemas and pipelines supporting AI-driven products and document processing Handle complex parsed, normalised and sensitive datasets at scale Support emerging AI use cases including evaluation processing, bulk uploads and intelligent workflows IEP & Medicaid Data Integration Build robust integrations across IEP, Medicaid and associated service platforms Deliver reconciliation, data quality and cross-system consistency Support enterprise reporting and operational analytics requirements Essential Experience Deep expertise in Databricks and Delta Lake architecture Proven experience implementing and operating Medallion Architecture (Bronze, Silver, Gold) Advanced pipeline engineering experience including: Orchestration Idempotent processing Error handling Monitoring Recovery strategies Data reconciliation Strong Unity Catalog experience including: Data governance Lineage Fine-grained permissions Row-level and column-level security Extensive ETL and data integration expertise across complex enterprise systems Strong understanding of: Data quality frameworks Data normalisation Backfilling strategies Data integrity controls Experience handling sensitive and regulated data environments Knowledge of PII protection techniques including: Masking Tokenisation Anonymisation Familiarity with GDPR and broader data privacy standards Performance and cost optimisation expertise including: Z-Ordering Liquid Clustering Data Skipping Query tuning Shuffle optimisation Cloud cost control 8+ years software engineering experience 3+ years operating at Senior/Lead Data Engineer or Databricks Architect level Highly Desirable Databricks AI capabilities Vector Search Model Serving LLM Pipelines Retrieval-Augmented Generation (RAG) EdTech domain experience Experience with industry standards such as: Ed-Fi OneRoster CEDS 1EdTech High-impact programme combining Data Engineering, AI and Enterprise Architecture Opportunity to shape the future data platform of a growing organisation Significant ownership and influence from day one | |