The Lead Enterprise Data Architect (LEDA) co-owns the data architecture principles of METRO and aligns them to the enterprise data strategy. They drive the principles towards business stakeholders to ensure effective establishing of data domains and are on the fore-front of communicating the value of data to the organization to ensure commitment and buy-in to principles and standards. The LEDA works closely with Enterprise Architecture and Process Excellence along existing landscape and in assessing new initiatives for their fit to data architecture principles.
Job listings
Join Unit4's AI research team as a Data Engineer. Youβll help build the data foundation that powers intelligent agents and real-time enterprise systems, working with cutting-edge technologies in data architecture, semantic modeling, and AI integration.
Shape analytical standards and implement innovative solutions, impacting operations across Poland and 7 international markets. You'll drive innovation and improvements by evaluating new tools and platform features. Monitor the effectiveness of solutions by tracking implemented actions and evangelize platform users on the best practices, encouraging teams to continuously improve their working methods.
As Head of Data Science & POCs, youβll lead the team that transforms raw risk and payments data into real-time decisions that power our platform. Youβll drive critical proof-of-concept (POC) and proof-of-value (POV) projects for enterprise customers and financial institutions. This is a hands-on leadership role for someone whoβs passionate about fraud prevention, can build from first principles, and thrives in high-stakes environments.
Lead a core team within Webflowβs Data Platform organization, building the scalable, reliable, and self-service data pipelines that power analytics, AI, and product experiences across the company. Partner closely with Data Infrastructure, Analytics Engineering, and Data & Insights to improve data quality, accelerate delivery velocity, and enable data-driven decision-making across Webflow.
Youβll be the engine behind Trust & Safetyβs data backbone, ensuring ingestion is reliable, latency is low, and data is correct, so that detection, tooling, and dashboards always have solid ground. As a Data Engineer at Resend, you will build and maintain ETL/streaming pipelines for logs, events, metadata, and attribution.
This role involves designing and scaling Quora's existing data infrastructure, improving systemβs reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. You'll be optimizing and enhancing our companyβs data architecture/pipelines to support our next generation data initiatives.
Lantern is seeking a Data Engineering Manager to shape the future of their Data Platform. This role involves leading a team of Data Engineers and hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will have expertise in Data Architecture, batch processing frameworks, and Data Modeling, ensuring smooth data ingestion and export processes.
Vantage is seeking a Senior Data Engineer to join the Measurement team, focused on enhancing the Insights Explorer feature. This role involves designing data infrastructure for collecting, processing, and analyzing large datasets, using cutting-edge technologies for real-time and batch processing at scale. You will lead architectural conversations, oversee data transformation, write maintainable Python code, and coach the team.
As a Senior Engineer on the Data Platform team, youβll help shape the backbone of StackAdaptβs data ecosystem. Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning. Implement and optimize data storage systems with a focus on reliability, lineage, and governance. Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments.