3 of 3 Permanent Metadata Jobs in Northamptonshire

to validate your technical skills. Automation Tools: Familiarity with automated testing and monitoring tools to ensure ongoing platform quality. Financial Services Knowledge: Experience in Salesforce implementations within Financial Services. Metadata & Tooling APIs: Experience using Salesforce Metadata API and Tooling API for DevOps or analytics purposes. Inner-Source Development: Familiarity with best practices in concurrent development and branching strategies within an More ❯

ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯

analysis, and knowledge graphs. - Optimize performance of graph queries and design for scalability. - Support ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. - Implement metadata management, security, and data governance using Data Catalog and IAM. - Work across functional teams and clients in diverse EMEA time zones and project settings. Thanks & Regards, Pooja K | Technical Recruiter More ❯