{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/scalable-architecture-design"},"x-facet":{"type":"skill","slug":"scalable-architecture-design","display":"Scalable Architecture Design","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42c9cfa4-8e3"},"title":"Data Platform Engineer","description":"<p><strong>Data Platform Engineer</strong></p>\n<p>Join AVL and make a direct impact on shaping the future of Data, AI, and Mobility.</p>\n<p><strong>Your Responsibilities:</strong></p>\n<ul>\n<li>Review and stabilise existing platform implementations (Databricks, Foundry – pipelines, Ontology schemas, Workshop applications, Functions, notebooks).</li>\n<li>Identify performance bottlenecks, technical debt, and governance gaps across data pipelines and application layers.</li>\n<li>Lead Ontology governance and design reviews, acting as a gatekeeper for all schema changes (Object Types, Links, Properties, Actions).</li>\n<li>Define and document target data architectures (ingestion, transformation, and consumption layers).</li>\n<li>Establish coding standards, naming conventions, repository structures, and Function versioning policies.</li>\n<li>Enforce code reviews and technical validation before production deployment through Foundry Branching and Proposal workflows.</li>\n<li>Define and implement a structured testing strategy (unit tests for Functions, integration tests, data quality checks, pipeline expectations).</li>\n<li>Design and improve CI/CD pipelines and Dev/Test/Prod promotion processes using Foundry Marketplace/DevOps.</li>\n<li>Automate deployments, rollbacks, and environment configurations.</li>\n<li>Create and maintain architecture documentation (ADRs, data lineage diagrams, Ontology schemas, data flow diagrams).</li>\n<li>Design reusable Workshop component libraries, custom widgets, and Slate application patterns.</li>\n<li>Design and validate new platform solutions aligned with strategy, security, and governance requirements.</li>\n<li>Mentor the development team on architectural thinking and platform best practices (40% hands-on coding, 60% architecture/leadership).</li>\n</ul>\n<p><strong>Your Profile:</strong></p>\n<ul>\n<li>Master’s degree in Computer Science, Data Engineering, or a related field.</li>\n<li>5+ years of experience in data engineering or platform architecture roles.</li>\n<li>Strong expertise in modern data platforms (Databricks, Snowflake, AWS Glue, Azure Synapse, or similar). Foundry experience is strongly preferred but not required.</li>\n<li>Advanced skills in Python (PySpark), SQL (Spark SQL), and TypeScript for backend logic and application development.</li>\n<li>Experience with distributed data processing (Spark architecture, partitioning strategies, performance optimisation).</li>\n<li>Strong understanding of relational databases (PostgreSQL, Oracle, or similar).</li>\n<li>Experience with CI/CD workflows, Git branching strategies, and automated testing in data environments.</li>\n<li>Solid experience in end-to-end ETL and data transformation processes.</li>\n<li>Proven experience in performance optimisation and scalable architecture design.</li>\n<li>Experience in defining development standards, interface contracts, and engineering best practices.</li>\n<li>Hands-on coding mindset: must write production code daily, not only review or document.</li>\n<li>Structured, analytical, and documentation-oriented approach.</li>\n<li>Strong communication and technical leadership skills, with very good proficiency in English and French.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.</li>\n<li>Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.</li>\n<li>Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.</li>\n<li>A team where your input and technical decisions truly matter.</li>\n<li>A competitive package and benefits.</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_42c9cfa4-8e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"AVL","sameAs":"https://jobs.avl.com","logo":"https://logos.yubhub.co/jobs.avl.com.png"},"x-apply-url":"https://jobs.avl.com/job/Sala-Al-Jadida-Data-Platform-Engineer/1365823133/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Databricks","Foundry","Python","SQL","TypeScript","Spark","PostgreSQL","CI/CD","Git","ETL","performance optimisation","scalable architecture design"],"x-skills-preferred":["cloud-native ML","MLOps"],"datePosted":"2026-03-09T09:29:56.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sala Al Jadida, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Databricks, Foundry, Python, SQL, TypeScript, Spark, PostgreSQL, CI/CD, Git, ETL, performance optimisation, scalable architecture design, cloud-native ML, MLOps"}]}