{"id":2258610,"url":"https://alion.io/job/gft-technologies-lead-ai-data-architect","title":"Lead AI & Data Architect","company":{"id":51689,"name":"GFT Technologies","domain":"gft.com","url":"https://alion.io/company/gft-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poznań, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":205,"max":275,"currency":"PLN","period":"hour","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"CI/CD","optional":true},{"name":"Google GKE","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-12T01:02:06Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Type of contract: B2B contract\nSalary range: 205 - 275 PLN/H\nWhat will you do?\nYou will be responsible for defining and shaping the target data architecture for a large-scale cloud transformation initiative within the financial services domain. The role focuses on designing enterprise-grade data platforms on Google Cloud, establishing data governance and quality standards, creating scalable data models and integration patterns, and enabling business-critical analytics and surveillance capabilities through modern data architecture principles.\nYour tasks\nDesign enterprise-scale data architecture and target-state data platform solutions on GCP\nDefine Bronze, Silver and Gold data lakehouse architecture patterns and standards\nCreate conceptual, logical and physical data models for complex business domains\nEstablish data governance frameworks, data quality controls and metadata standards\nDefine integration architecture, data lineage and end-to-end data flows\nCollaborate with business and technology stakeholders to identify common data elements and enrichments\nSupport the creation of analysis-ready datasets and reusable data products\nProvide architectural guidance for BigQuery-based solutions and cloud-native data platforms\nAssess cloud migration approaches and target-state architecture options\nEnsure alignment with security, IAM and regulatory requirements\nContribute to architecture reviews, technical decision-making and best practices\nYour skills\nExtensive experience in Enterprise Data Architecture\nStrong knowledge of Data Lakehouse architecture including Bronze, Silver and Gold patterns\nHands-on experience with GCP architecture design\nStrong expertise in BigQuery\nExperience in conceptual, logical and physical data modelling\nKnowledge of data governance frameworks and data quality management\nExperience with integration architecture and data lineage practices\nUnderstanding of GCP security and IAM concepts\nExperience working within Financial Markets or Surveillance domains\nStrong stakeholder management and communication skills\nNice to have\nExperience with Market Abuse or Unauthorised Trading surveillance systems\nKnowledge of Vertex AI and machine learning platforms\nExperience 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