{"id":1653319,"url":"https://alion.io/job/dcs-corporation-data-architect","title":"Data Architect","company":{"id":2031265,"name":"DCS Corporation","domain":"dcscorp.com","url":"https://alion.io/company/dcscorp","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","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":["Dayton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":334},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Knowledge Graph","optional":true}],"status":"closed","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-05T17:31:29Z","board_verified":false,"closed_at":"2026-10-05T17:31:29Z","days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"ARCTOS a DCS companyis seeking a technical leader to establish and lead a new Integrated Data and Engineering Analytics (IDEA) team supporting a portfolio of structures and materials R&D and technology programs within the Aerospace Structures & Materials Department. The team will develop programmatic and technical architecture, analytical capabilities, digital engineering methods, and technical workforce required to transform diverse engineering and programmatic data into connected, traceable, and decision-ready knowledge.\nThe Team Lead will define the vision and technical architecture for this capability while building a multidisciplinary team to execute it. The successful candidate must be able to think strategically about what an integrated engineering intelligence environment should look like three to five years from now while remaining willing and able to work directly with engineers, scientists, software developers, program managers, and customers to solve today's problems.\nEssential Job Functions:\nTechnical Vision & Architecture\nEstablish a three-to-five-year vision and technical roadmap for Integrated Data and Engineering Analytics.\nDefine and implement scalable architectures for integrating engineering data, models, digital engineering environments, programmatic information, and analytical capabilities.\nBalance immediate program requirements with development of reusable organizational capabilities and new areas of business growth\nEvaluate emerging technologies and identify opportunities that improve engineering analysis and program decision-making.\nEngineering Data & Digital Integration\nEstablish methods for organizing, connecting, querying, and analyzing heterogeneous engineering information.\nDefine and implement approaches for metadata, provenance, traceability, configuration management, APIs, data pipelines, and authoritative data sources.\nIntegrate experimental data, materials information, computational models, requirements, and analytical results.\nConnect engineering information with MBSE, PLM, MDAO, simulation workflows, and other digital engineering environments.\nEngineering Analytics & AI/ML\nDevelop capabilities for extracting engineering insight from complex and heterogeneous datasets.\nApply statistical analysis, data fusion, visualization, machine learning, AI, surrogate modeling, and predictive analytics where they provide engineering value.\nCombine experimental and computational information to improve models, quantify uncertainty, identify trends, and reduce technical risk.\nEnsure analytical approaches maintain appropriate physical interpretation, validation, traceability, and engineering credibility.\nProgram Decision Analytics\nConnect technical performance and engineering evidence with program cost, schedule, milestones, technical objectives, readiness, and risk.\nDevelop analytical approaches that allow technical and program leadership to understand how evolving engineering results affect program execution.\nIdentify emerging technical risks, dependencies, opportunities, and decision points.\nSupport quantitative, evidence-based risk management by connecting program risks to underlying engineering data, models, assumptions, and uncertainties.\nDevelop decision environments that allow engineers, program managers, and customers to evaluate technical and programmatic information within a common context.\nApplications, Team Development & Customer Solutions\nLead development of engineering applications, dashboards, visualization environments, and decision-support tools.\nBuild and lead a multidisciplinary Integrated Data and Engineering Analytics team as program needs grow.\nDevelop strong partnerships with structures, materials, modeling and simulation, test, systems engineering, program management, and other technical organizations.\nEngage government and industry customers to identify emerging engineering intelligence and digital engineering requirements.\nTranslate customer challenges into technical concepts, architecture, demonstrations, proposals, and executable programs.\nRequired Skills:\nDue to the sensitivity of customer related requirements, U.S. Citizenship is required.\nBachelor's degree in aerospace engineering, mechanical engineering, computer science, computational science, systems engineering, data science, or a related technical field; advanced degree preferred.\n5+ years of relevant technical experience with demonstrated technical and/or programmatic leadership.\nExperience developing data architecture, software environments, digital engineering capabilities, or analytical solutions supporting engineering or scientific applications.\nExperience working with complex engineering data such as experimental measurements, materials characterization, sensor data, computational simulations, or model-generated information.\nDesired Skills:\nUnderstanding of modern data architectures, metadata management, APIs, data pipelines, databases, cloud computing, and engineering data integration.\nExperience integrating engineering software, models, databases, and analytical workflows.\nUnderstanding configuration management, provenance, traceability, reproducibility, model validation, and uncertainty.\nAbility to understand relationships among technical performance, program objectives, cost, schedule, uncertainty, and risk.\nDemonstrated ability to communicate and lead across engineering, software/data, program management, and customer organizations.\nDemonstrated ability to translate broad technical vision into practical and executable solutions.\nExperience in several of the following areas is desirable: hypersonic R&D, aerospace structures and materials; experimental or computational mechanics; engineering test and measurement; finite element or multi-physics simulation; digital engineering and digital threads; MBSE/SysML; PLM; MDAO; cloud architectures; knowledge graphs and semantic architectures; data science and machine learning/artificial intelligence; model validation and uncertainty quantification; scientific computing; program decision analytics; and technical risk management.\nExperience supporting Department of Defense or other government research and development programs, including familiarity with cybersecurity, controlled technical information, and data-rights requirements, is also desirable.\nPhysical/Working Environment:\nPrimary work environment is a standard office setting.\nTravel - Occasional travel is expected and will be performed under the guidelines of Federal Travel Regulations (FTR) and/or Joint Travel Regulations (JTR) Occasional travel is expected and will be performed under the guidelines of Federal Travel Regulations (FTR) and/or Joint Travel Regulations (JTR).\nUnderstanding of modern data architectures, metadata management, APIs, data pipelines, databases, cloud computing, and engineering data integration.\nExperience integrating engineering software, models, databases, and analytical workflows.\nUnderstanding configuration management, provenance, traceability, reproducibility, model validation, and uncertainty.\nAbility to understand relationships among technical performance, program objectives, cost, schedule, uncertainty, and risk.\nDemonstrated ability to communicate and lead across engineering, software/data, program management, and customer organizations.\nDemonstrated ability to translate broad technical vision into practical and executable solutions.\nExperience in several of the following areas is desirable: hypersonic R&D, aerospace structures and materials; experimental or computational mechanics; engineering test and measurement; finite element or multi-physics simulation; digital engineering and digital threads; MBSE/SysML; PLM; MDAO; cloud architectures; knowledge graphs and semantic architectures; data science and machine learning/artificial intelligence; model validation and uncertainty quantification; scientific computing; program decision analytics; and technical risk management.","description_format":"text","description_chars":7965,"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":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T00:51:00Z"},{"event":"close","at":"2026-10-05T17:31:29Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/dcs-corporation-data-architect","json_url":"https://alion.io/job/dcs-corporation-data-architect.json","meta":{"generated_at":"2026-10-06T01:29:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2077,"day_limit":5000,"remaining_today":2923,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2031265},"rest":"https://alion.io/mcp/rest/get_company?id=2031265"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdcs-corporation-data-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdcs-corporation-data-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdcs-corporation-data-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dcs-corporation-data-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdcs-corporation-data-architect"}]}