• Design, configure, and maintain Teamcenter data models using BMIDE, including object types, attributes, relationships, and business rules. • Develop, deploy, and support BMIDE templates and extensions across development and production environments. • Translate Navy engineering, logistics, and lifecycle management requirements into scalable, maintainable PLM data structures. • Apply and enforce data modeling standards, naming conventions, and BMIDE best practices to ensure consistency, reusability, and compliance across the NPLM solution. • Develop and maintain comprehensive data documentation, including data dictionaries, schema diagrams, and metadata definitions, to support transparency, governance, and knowledge transfer. • Support the evolution of the Teamcenter data model architecture, ensuring alignment with enterprise objectives and interoperability requirements. • Conduct impact analysis and implement controlled updates to the data model to support system integrations and evolving mission needs. • Collaborate with solution architects, developers, and functional stakeholders to align data model design with system capabilities and business requirements. • Partner with data governance and architecture teams to promote a single source of truth, reduce data duplication, and align with enterprise data standards. • Support testing, validation, and troubleshooting of BMIDE configurations, including resolving schema conflicts, deployment issues, and data inconsistencies. • Performs other duties as assigned.

• Define and implement the data architecture strategy for our SaaS platform. • Define a data platform that allows strong data governance, sound operational control, and the flexibility needed by end customers. • Lead the design and guide the development of scalable models, data pipelines, and data warehouses / lakes using Azure Fabric. • Collaborate with product teams to understand data requirements and translate them into technical solutions. • Ensure data integrity, security, and compliance with industry standards and regulations. • Develop and maintain a data governance framework. • Oversee the implementation of data integration, ETL processes, and data migration strategies. • Design and implement advanced analytics and reporting solutions to support business decision-making. • Partner with other architects and engineers to design and deliver AI solutions using the most current AI practices. • Mentor and guide junior data engineers and architects. • Perform other duties as assigned to support departmental and company objectives.​

• Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning. • Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight. • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences. • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations. • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs). • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively. • Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes. • Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling. • Present findings and recommendations to senior leadership, including options and trade-offs. • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles. • Contribute to additional analytics initiatives as business needs evolve.

Role Description Runware is building a high-performance AI media-creation platform powering instant generation of text, image, video, 3D, and audio. As our platform scales and integrations grow, we need robust, reliable, and high-throughput data systems. We’re looking for a Data Engineer to architect and maintain our data backbone — with a special focus on high-volume logs, and performance pipelines. Your main mission is to build, optimize, and maintain Runware’s data infrastructure. You will ensure that logs, metrics, performance data, and events are efficiently ingested, processed, stored, and ready to be analyzed by engineering, ML, and product teams. This role is central to: - Supporting observability & platform reliability - Enabling deep log & performance analytics - Powering internal dashboards and customer reporting - Providing clean, structured data to the Data Expert and all stakeholders What You Will Do - Architecture & Ownership - Design, build, and maintain schemas and data models - Optimize table layout, partitioning, indexing, and compression for high-volume data - Ensure fast, efficient querying for logs, requests, metrics, and performance traces - Maintain ingestion pipelines for billions of records - Data Engineering & Pipelines - Build robust pipelines for: - API logs - Model inference logs - Error events - Usage & integration events - GPU & system metrics - Implement ETL/ELT workflows to transform raw data into analytics-ready structures - Ensure quality, reliability, and real-time availability of data sources - Performance & Log Analysis Infrastructure - Build tooling to support large-scale log analysis - Enable deep investigation into latency, throughput, errors, and bottlenecks - Provide the raw data foundation for E2E inference-time monitoring - Help debug production issues using logs and traces - Tooling & Observability Infrastructure - Work closely with DevOps, ML, and backend engineering - Integrate pipelines with monitoring tools (Prometheus, Grafana, Datadog, OpenTelemetry) - Automate ingestion and cleanup tasks - Build internal libraries or utilities to support monitoring and debugging workflows - Collaboration & Cross-Functional Support - Provide clean data interfaces for the Data Expert (dashboards, monitoring, analytics) - Support engineering teams by exposing the right logs and metrics - Contribute to debugging, RCA (root cause analysis), and performance optimization initiatives Qualifications - Solid experience as a Data Engineer or similar role in a production environment - Strong understanding of data pipelines, streaming vs batch processing, and data modeling - Experience working with analytical databases (ClickHouse is a plus, but not mandatory) - Comfortable digging through logs, metrics, and platform data to understand system behavior - Familiarity with event-based systems, monitoring, and observability concepts - Pragmatic mindset: you care about usefulness, reliability, and performance over theory - Comfortable working cross-functionally with backend, infra, and data profiles - Startup / scale-up experience is a plus Nice to Have - Experience with high-throughput or realtime systems - Exposure to cost monitoring, performance analytics, or platform observability - Background in AI, ML platforms, or data-heavy products Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations Company Description We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. Please note: We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.