{"id":3454206,"url":"https://alion.io/job/globallogic-senior-federated-data-platform-engineer","title":"Senior Federated Data Platform Engineer","company":{"id":46391,"name":"GlobalLogic","domain":"globallogic.com","url":"https://alion.io/company/globallogic","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":62000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-23T11:30:45Z","employer_posted_date":null,"last_verified_at":"2026-10-23T11:30:45Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"Job Description\n\nImplement the platform capabilities that enable disparate data sources to be combined, virtualized, standardized, and exposed through a consistent access model without requiring extensive physical consolidation.\n\nExperience with technologies and platforms such as\n\nMicrosoft Fabric, OneLake, Synapse, Azure Data Lake, Purview\n\nBigQuery, BigLake, Dataplex\n\nAthena, Redshift Spectrum, Lake Formation, Glue\n\nData virtualization, federated query, semantic layer, or data fabric platforms\n\nStrong Python\n\nJob Responsibilities\n\nImplementing data virtualization and federation capabilities\n\nBuilding federated query services\n\nDeveloping semantic and abstraction layers\n\nCreating reusable APIs and access services\n\nPerformance tuning, scalability, reliability, and operational support\n\nContributing to platform design and technology decisions through hands-on expertise\n\nDepartment/Project Description\n\nBuild the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.\n\nWe are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. 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