{"id":2401274,"url":"https://alion.io/job/tria-federal-tria-data-architect-engineer","title":"Data Architect Engineer","company":{"id":4372841,"name":"Tria Federal","domain":"triafed.com","url":"https://alion.io/company/tria-federal-tria","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-25T05:49:26Z"}},"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":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":134000,"max_usd":265000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":437},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Anomaly Detection","optional":true}],"status":"live","first_seen_at":"2026-10-07T19:28:22Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-26T01:07:23Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Who we are:\nTria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.\nWe are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply.\nJob Description: \nA Senior Data Architect Engineer to support the DIA O&I Enterprise Integration and Assessments Data Team, focused on accelerating dataset understanding and delivering fit-for-purpose machine learning and data solutions.\nThe role will help the team move from “what data do we have and what can it support?” to “what model or workflow should we implement, and how do we sustain it?” The emphasis is on selecting the right method or tool for the mission problem, including determining when ML is appropriate and when rules, heuristics, or simpler analytics are better suited\nBasic Requirements: \nB.S. in related field with 5+ years of experience or 10+ years with no B.S.\nMust be a U.S. Citizen\nMust have an ACTIVE TS/SCI w/ CI Poly Clearance\nSenior-level experience supporting machine learning, data science, data architecture, or data engineering efforts\nStrong Python and SQL experience\nExperience with common machine learning frameworks and libraries, such as scikit-learn, PyTorch, or TensorFlow\nExperience assessing datasets for ML readiness, including data quality, metadata, labeling, ground truth, feature engineering, and constraints\nExperience designing, building, evaluating, and improving ML models based on mission or business use cases\nExperience defining model evaluation metrics and conducting error analysis\nExperience building reproducible technical workflows and documenting implementation approaches\nExperience using AWS SageMaker for experimentation, training, processing, pipelines, model registry, or deployment approaches\nSound software engineering practices, including Git, readable and modular code, basic testing, documentation, and reproducibility\nAbility to work independently, provide technical recommendations, and interface with Government leads and senior stakeholders with limited oversight\nFamiliarity with scalable data processing tools such as Spark or PySpark is a plus\nResponsibilities: \nIndependently assess and explain datasets, including content, structure, quality, gaps, lineage, metadata, constraints, and known limitations\nIdentify what is needed to make datasets ML-ready, including labeling, ground truth, feature creation, and data quality considerations\nRecommend practical approaches for addressing risk considerations such as bias, drift, and model limitations\nDesign, build, and iterate ML models appropriate to the data and use case, such as classification, entity or record matching, anomaly detection, and natural language processing, as applicable\nEstablish baselines and define evaluation metrics tied to operational utility\nPerform error analysis to guide model improvements and inform recommendations\nBuild reproducible workflows that can be rerun and sustained within the customer’s operating environment and security constraints\nSupport implementation decisions, including batch versus real-time processing, resource and cost tradeoffs, and latency or throughput considerations\nUse AWS SageMaker for experimentation and execution, including notebooks or Studio, training jobs, processing jobs, pipelines or automation, model registry, and deployment approaches as permitted\nProvide clear technical recommendations to the team and Government lead on data strategy, modeling choices, architecture patterns, and implementation plans\nProactively identify technical risks, opportunities, and recommended paths forward with minimal oversight\nACTIVE TS/SCI with CI POLY CLEARANCE REQUIRED* MUST BE U.S. CITIZEN\nWork Location: ON-SITE SUPPORT DIA HQ in Washington D.C. \nWhy Tria?\nWhat defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success.\nAs a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow. \nCalifornia Consumer Privacy Act (CCPA)\nWe are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. 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