{"id":2836158,"url":"https://alion.io/job/ltm-senior-specialist-data-engineering-35","title":"Senior Specialist - Data Engineering","company":{"id":9353,"name":"LTM","domain":"ltm.com","url":"https://alion.io/company/ltm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":79,"open_postings":166,"ghost_share":0,"stale_share":0.843,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, 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Architecture Design\nDesign and implement scalable cloudbased data architectures on Azure\nDefine enterprise data models data integration patterns and data governance standards\nArchitect modern Data Lakehouse solutions using Databricks and Delta Lake\nCreate conceptual logical and physical data models\nData Engineering Integration\nDesign and develop batch and realtime data pipelines using ADF and Databricks\nBuild scalable ETLELT frameworks using Python and PySpark\nIntegrate data from multiple source systems including databases APIs SaaS platforms and files\nOptimize Spark jobs Databricks clusters and SQL workloads for performance and cost efficiency\nData Governance Security\nImplement data quality lineage metadata and governance frameworks\nEstablish security controls rolebased access and compliance standards\nDefine best practices for data lifecycle management and monitoring\nStakeholder Engagement\nWork closely with business stakeholders product owners and development teams to translate business requirements into technical solutions\nProvide technical leadership and architectural guidance to data engineering teams\nParticipate in architecture reviews solution design sessions and technology evaluations\nDelivery Leadership\nLead endtoend implementation of enterprise data platforms\nMentor data engineers and enforce engineering best practices\nDrive continuous improvement and innovation in cloud data solutions\nRequired Qualifications\nBachelors or Masters degree in Computer Science Information Technology Engineering or related field\n11 years of experience in Data Engineering Data Warehousing and Data Architecture\n5 years of handson experience in Azure Cloud and Databricks ecosystem\nStrong experience designing Lakehouse architectures and enterprisescale data platforms\nExpertise in SQL optimization and advanced query development\nStrong programming background in Python and PySpark\nExperience with CICD DevOps and Agile delivery methodologies\nTechnical 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