{"id":3974208,"url":"https://alion.io/job/xebia-data-ai-architect","title":"Data AI Architect","company":{"id":1386,"name":"Xebia","domain":"xebia.com","url":"https://alion.io/company/xebia","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":62,"open_postings":36,"ghost_share":0.639,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bulgaria"],"countries":["BG"],"hiring_countries":["BG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-11-09T13:25:15Z","employer_posted_date":null,"last_verified_at":"2026-11-09T13:25:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.\n\nWe specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.\n\nIn the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.\n\nYou will be:\n\nDesign domain data models for parties, deals, assets and payment plans.\n\nIncorporate auditability and historical data requirements into the data model.\n\nDesign event streams and integration patterns using outbox, CDC, Kafka and schema registry.\n\nDesign the analytics and reporting layer for Risk, Finance and Sales.\n\nEstablish metric definitions and support reconciliation and data lineage.\n\nDesign governed data context for AI agents, including knowledge graphs, vector stores and masked datasets.\n\nDefine data governance approaches for data quality, retention and access control.\n\nEnsure the data architecture addresses GDPR requirements.\n\nCollaborate across Foundation and Lab to align experimental capabilities with the target production architecture.\n\nYour profile:\n\nStrong experience in data architecture and data modelling.\n\nExperience designing domain data models for transactional systems, including auditability and historical records.\n\nExperience with event driven data integration patterns, including outbox and Change Data Capture (CDC).\n\nExperience with Apache Kafka or comparable event streaming architectures.\n\nUnderstanding of schema management and schema registry concepts.\n\nExperience designing analytics and reporting data architectures.\n\nUnderstanding of metric definitions, reconciliation and data lineage.\n\nStrong knowledge of data governance, including data quality, retention and access control.\n\nKnowledge of GDPR requirements relevant to data architecture.\n\nAbility to design architectures that support transactional workloads alongside downstream analytics and AI use cases.\n\nAbility to collaborate across prototype and production oriented engineering streams.\n\nWork from the European Union region and a work permit are required.\n\nNice to have:\n\nExperience designing data architectures for AI or agent based platforms.\n\nExperience with knowledge graphs, vector stores or data prepared for retrieval based AI solutions.\n\nExperience designing approaches for masked or privacy sensitive datasets.\n\nExperience supporting data requirements for Risk, Finance or Sales.\n\nData architecture experience in financial services, leasing or vendor finance.\n\nFamiliarity with data requirements for deterministic core banking systems.\n\nRecruitment Process:\n\nCV review – HR call – Interview – Client Interview – 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