{"id":4297444,"url":"https://alion.io/job/agiloft-staff-data-engineer-2","title":"Staff Data Engineer","company":{"id":7870,"name":"Agiloft","domain":"agiloft.com","url":"https://alion.io/company/agiloft","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"LLM","optional":false}],"status":"live","first_seen_at":"2026-11-13T21:30:42Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T01:55:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Overview\nWe are looking for an experienced Staff Data Engineer to lead the next generation of our contract data model. In this role, you’ll collaborate with Product and Engineering to design and deliver a new, more efficient data model that will serve as the foundation for contract intelligence, AI-extracted data, and analytics across our CLM platform. You will play a key role in deciding the go-forward data model and system of record, and in leading its implementation from initial rollout through expanded adoption.\nJob Responsibilities\nLead the design and delivery of a new, efficient and scalable data model, and plan the transition including migration strategies that minimize disruption for existing customers\nPartner with Product and Engineering leadership to define the long-term data architecture and system of record, and drive key architectural decisions across teams\nDesign, build, and maintain scalable data pipelines and data flows across core applications, AI services, and analytics systems\nBuild and evolve the data warehouse and analytics layer that powers customer insights, workflow automation, and AI-driven features\nEnsure data platforms meet high standards for performance, security, privacy, compliance, and cost efficiency\nImplement monitoring and automated data quality checks to keep pipelines and data assets reliable and trustworthy\nEstablish data governance standards, including documentation, lineage, and retention\nCollaborate with Data Science, ML, Professional Services, and customer-facing teams on analytics, integrations, and data migrations\nProvide technical guidance and mentorship, lead design and code reviews, and contribute to the data roadmap\nStay current with advancements in data engineering, data modeling, and cloud data platforms to identify and implement best practices\nLeveraging AI assisted tools to enhance productivity, streamline workflows, and support day-to-day activities \nOther duties as assigned\nRequired Qualifications\nA little bit about you\n8+ years of experience in data engineering, with a track record of designing and owning data models for complex, production SaaS products with high scale and low latency\nDeep expertise in data modeling, including relational, dimensional, and entity or graph-based approaches, and in choosing the right structure for scale, flexibility, and performance\nProven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption\nHands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar.\nExperience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS\nSolid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.\nExperience designing semantic layers or data models that power analytics, BI, and AI or LLM-based applications\nDemonstrated ability to drive architecture decisions across teams, write clear design documents, and scope and plan multi-quarter initiatives\nStrong communication skills to effectively collaborate with diverse teams, including product managers, engineers, data scientists, and customer-facing teams\nFamiliarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus","description_format":"text","description_chars":3547,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document Management","Legal Software","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-11-14T01:55:49Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 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