{"id":2379094,"url":"https://alion.io/job/pmconsulting-data-architect","title":"Data Architect","company":{"id":4421389,"name":"PM Consulting","domain":"pmconsulting.ph","url":"https://alion.io/company/pmconsulting-2","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"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":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":46000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-10-12T18:59:17Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-17T14:40:03Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"The Data Architect is responsible for designing and guiding modern data architecture solutions that support business, analytics, and data platform needs. This role focuses on architecting scalable, secure, and high-performing data environments across cloud, hybrid, and on-premises platforms.\nThe position requires strong expertise in data architecture, platform design, governance, and technical leadership, with the ability to support implementation teams and drive sound architectural decisions. Experience with AI-related architecture concepts is advantageous but not required.\nKey Responsibilities\nData Architecture & Design\nLead the design of modern data environments, including data lakes, data warehouses, and lakehouse architectures.\n\nDefine data integration patterns, ingestion frameworks, ETL/ELT processes, and real-time or streaming architectures.\n\nDevelop logical, physical, and conceptual data models aligned to business and analytical requirements.\n\nEnsure data platforms are designed for scalability, reliability, performance, and cost efficiency.\n\nPlatform & Solution Architecture\nDesign data solutions across cloud, hybrid, and on-premises environments.\n\nDefine frameworks for storage, compute, security, metadata, and data lineage.\n\nRecommend architecture approaches, technology options, and best practices aligned with enterprise standards.\n\nEnsure solutions align with broader architecture principles and governance requirements.\n\nData Governance & Security\nSupport the design and implementation of data governance frameworks and metadata management practices.\n\nDefine approaches for access controls, data quality, cataloging, lineage, and compliance requirements.\n\nEnsure alignment with enterprise security standards and relevant regulatory requirements.\n\nTechnical Leadership & Delivery Support\nCollaborate with engineering and delivery teams to support successful implementation of architecture solutions.\n\nProvide technical leadership throughout development, integration, and deployment activities.\n\nConduct architecture reviews, design validation, and performance optimization assessments.\n\nProduce and maintain technical documentation, architecture diagrams, and design specifications.\n\nPreferred AI Architecture Exposure\nExperience in the following areas is considered an advantage:\nAI and machine learning architecture patterns\n\nLarge language model (LLM), retrieval-augmented generation (RAG), or generative AI solution design\n\nData pipelines supporting AI workloads\n\nModel lifecycle and operational considerations\n\nAI infrastructure and compute environments\n\nQualifications\nRequired\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.\n\n5-12 years of experience in data architecture, data platform engineering, or related solution design roles.\n\nStrong hands-on experience with modern data platforms, including cloud and distributed data environments.\n\nDeep understanding of ETL/ELT processes, data modeling, data governance, and security principles.\n\nStrong knowledge of modern data architecture patterns, including lakehouse, warehouse, and integration frameworks.\n\nPreferred\nExperience working in consulting or systems integration environments.\n\nExposure to AI architecture concepts and supporting technologies.\n\nKey Competencies\nData architecture and solution design\n\nTechnical leadership and architecture governance\n\nData modeling and integration strategy\n\nSecurity and data governance\n\nPerformance optimization and scalability planning\n\nCore Technical Skills\nModern cloud data platforms\n\nData lake, warehouse, and lakehouse architecture\n\nETL/ELT and integration pipelines\n\nData modeling and metadata management\n\nData governance and security frameworks","description_format":"text","description_chars":3746,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T18:59:17Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely 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