26 to 31 of 31 Databricks Jobs in the East of England

seeking a Principal Data Platforms Security Specialist to secure the enterprise data platforms and SaaS estate. You will strengthen security controls across Snowflake, Databricks and related cloud environments, driving continuous compliance monitoring and remediating risks in collaboration with Data Platform, Cloud Security and Application Security teams. You will lead governance ...

security expertise, governance, automation and stakeholder engagement. Skills and experience we’re looking for: Hands-on experience securing enterprise data platforms such as Snowflake , Databricks, or similar cloud-based data environments. Strong knowledge of SaaS security, SSPM tooling, posture management , and security configuration best practices. Experience implementing and managing identity ...

guide teams on when and how to apply them. Optimise physical designs for performance, scalability, cost and resilience across cloud data platforms (e.g., Snowflake, Databricks, Synapse, BigQuery). Lead design reviews, ensuring models are accurate, high-quality, and aligned with business capabilities and domain boundaries. Data Governance & Metadata Management Define … business glossaries. Hands‐on experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural artefacts: blueprints ...

experienced Information Architect, Data Architect or Solution Architect with strong Supply Chain domain knowledge and hands-on expertise across AWS , Databricks , and modern data platforms? Do you have a proven track record designing scalable data architectures that support supply planning, demand forecasting, inventory optimisation, and operational decision-making … event-driven architectures. Strong hands-on experience with AWS data services covering data ingestion, storage, processing, orchestration, security, and monitoring. Advanced knowledge of Databricks , including Lakehouse architecture, Delta Lake, and large-scale data engineering practices. Expertise in conceptual, logical, and physical data modelling, including dimensional modelling, relational modelling, and modern ...

scientific data, and that Applied AI and data engineering teams build against internally. Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Design the inference substrate for both real-time and batch … judgment to critically evaluate AI-generated code for correctness, security, and architectural fit. Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows. Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval ...

scientific data, and that Applied AI and data engineering teams build against internally. Own the model and prompt lifecycle in your area across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Build the inference path for real-time and batch … services, with the judgment to review AI-generated code for correctness, security, and fit. Production experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows. Experience treating AI evaluation as a release gate rather than after-the-fact reporting, including ...