{"id":3108676,"url":"https://alion.io/job/exl-data-architect-2","title":"Data Architect","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":261,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":223000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T21:34:24Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-27T04:37:59Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions\nProvides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.\nEssential Duties\nUnderstand and translate business needs into data models and data architecture supporting long-term solutions.\nWork with the Application Development team to implement data strategies, build data flows and development of data models.\nCreate and maintain conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy, along with corresponding metadata.\nOptimise and update logical and physical data models to support new and existing projects.\nDevelop best practices for standard naming conventions and coding practices to ensure consistency of data models.\nOrganized and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.\nRecommend opportunities for reuse of data models in new environments.\nPerform reverse engineering of physical data models from databases and SQL scripts.\nEvaluate data models and physical databases for variances and discrepancies.\n Oversee organizational data modelling. 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