{"id":171704,"url":"https://alion.io/job/merck-co-lead-semantic-data-engineer","title":"Lead Semantic Data Engineer","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":132,"ghost_share":0.03,"stale_share":0.114,"repost_share":0.174,"time_to_fill_p50_days":16,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prague, Czech Republic","Hyderabad, India"],"countries":["CZ","IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":121000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Neptune","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-02T03:46:16Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":101},"description":"Job Description\nOur company is seeking a lead semantic data engineer to architect, build, and scale enterprise-grade knowledge graph solutions that power advanced analytics and decision-making in pharmaceutical research. This role will lead the design of semantic data layers that integrate heterogeneous scientific datasets, enabling end-to-end traceability, cross-domain insights, and AI/ML-driven discovery. The ideal candidate will combine deep expertise in knowledge graphs, ontology engineering, and data engineering, with strong domain awareness in pharmaceutical R&D.\nKey responsibilities\nDesign and implement scalable knowledge graph architectures to integrate multi-modal data (e.g., omics, process, analytical, lineage)\n\nBuild and manage graph data models representing entities such as samples, processes, assays, targets, and biological relationships\n\nDrive adoption of graph technologies (e.g., RDF, property graphs, SPARQL/Cypher)\n\nPartner with platform teams to implement scalable infrastructure (e.g., Amazon Neptune, serverless pipelines)\n\nEnsure performance, scalability, and governance of knowledge graph platforms\n\nCollaborate with product managers, scientists, data engineers, and AI/ML teams to translate business needs into semantic models\n\nDefine and execute the knowledge graph roadmap aligned with enterprise data product strategy\n\nMentor engineers and establish best practices in ontology development, modeling, and graph engineering\n\nDrive adoption of knowledge graph capabilities across use cases and programs\n\nRequired experience and skills\nSemantic web technology stack (e.g., RDF data format, SPARQL query language)\n\nAmazon Web Services, particularly the serverless services (e.g., Lambda, Step Functions)\n\nData engineering (e.g., SQL queries, ETL jobs)\n\nProgramming in Python\n\nExperience with DevSecOps practices like continuous integration (CI) and continuous delivery (CD), source code version control (e.g., Git), infrastructure-as-code (e.g., CloudFormation, Terraform), and containers (e.g., Docker)\n\nDesired experience and skills\nCheminformatics and familiarity with the pharmaceutical research\n\nExposure to AI/ML applications leveraging graph data\n\nGood communication and collaboration skills, and ability to collaborate with other teams to develop solutions\n\nExperience with Atlassian stack of tools for agile software development (e.g., Jira, Confluence)\n\nDemonstrate growth mindset and ability to work with enterprise teams\n\nWhat We Offer\n(Please note, the primary posting location is Prague, Czechia - benefits in other locations may differ)\nExciting work in a great team, global projects, international environment\n\nOpportunity to learn and grow professionally within the company globally\n\nPension and health (Canadian Medical) contributions\n\nInternal reward system plus referral program\n\n5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution\n\nCafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs\n\nUp-to-date laptop and iPhone, parking in the garage, showers, refreshments\n\nCompetitive salary, incentive pay, and many more\n\nReady to take up the challenge? Apply now!\nKnow anybody who might be interested? Refer this job!\nThe date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the \"Apply \" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/\nRequired Skills:\nAmazon Web Services (AWS), Artificial Intelligence (AI), Atlassian JIRA, AWS CloudFormation, AWS Lambda, AWS Step Functions, Chemical Informatics, CI/CD, Collaboration, Communication, Data Engineering, Docker (Software), Extract Transform Load (ETL), Git, Graph Databases, Infrastructure As Code (IaC), Machine Learning (ML), Pharmaceutical Research, Python (Programming Language), Resource Description Framework (RDF), SPARQL, Structured Query Language (SQL), Terraform (Software), Web ContainersPreferred Skills:\nCurrent Employees apply HERE\nCurrent Contingent Workers apply HERE\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nDomestic/InternationalVISA Sponsorship:\nYesTravel Requirements:\n10%Flexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nN/AJob Posting End Date:\n09/12/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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