{"id":3544908,"url":"https://alion.io/job/merck-co-senior-specialist-data-architect","title":"Senior Specialist, Data Architect","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":97,"open_postings":136,"ghost_share":0.037,"stale_share":0.125,"repost_share":0.169,"time_to_fill_p50_days":16,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T20:25:27Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T08:50:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nThe Senior Specialist, Data Architect, GDMS Data Integration and Automation leads and/or executes the build, integration, and maintenance of clinical databases/clinical operational systems. In addition, the Senior Specialist, Data Architect enables clinical study systems setup, transformations, and data-integration activities across systems while enforcing enterprise standards. The Senior Specialist, Data Architect manages escalations and dependencies, ensures SLAs (Service Level Agreements) and audit readiness, guides resourcing, mentors teams, maintains SOPs/WIs (Standard Operating Procedures/ Work Instruction), and provides subject matter expertise support on training.\nResponsibilities\nProgramming and reporting\nDesign and deploy clinical technology system solutions (e.g., for EDC [Electronic Data Capture], RTSM [Randomization & Trial Supply Management], eCOA/ePRO [electronic Clinical Outcome Assessment/ electronic Patient-Reported Outcome]) using programming / reporting frameworks and automation tools.\nImplement and validate complex data logic (edit checks, derivations, dynamic rules) with fit-for-purpose scripting and validation frameworks.\nRecommend and implement tools to streamline design, build, and validation processes. \nAct as a domain expert, providing technical guidance and reviews to peers and stakeholders.\nApply data literacy to design transformation strategies for actionable insights.\nDevelop advanced reporting solutions (dashboards, listings, visual analytics) with reusable components and role-based access.\nData Engineering\nDefine and optimize integration architecture, including data sources and transformation workflows across systems.\nMonitor and troubleshoot data ingestion and consumption to improve reliability.\nAutomate and strengthen data engineering processes for efficiency and risk reduction.\nCollaborate with stakeholders to translate business needs into data and system requirements.\nDevelop robust data models, semantic layers, and curated datasets; monitor pipelines and enforce quality checks.\nProcess\nValidate system functionality and ensure compliance with SOPs (Standard Operating Procedures) and regulations.\nSet documentation standards and identify process gaps for improvement.\nLead testing strategies for solutions; automate validation and ensure traceability from requirements to evidence.\nLead or participate in process improvement initiatives and cross-functional projects.\nMentor junior colleagues, share best practices, and support onboarding and training.\nLead or support release processes for various business needs across environments (data management/clinical operations), including change control and risk assessment.\nAlign stakeholders by translating requirements into technical specs; lead UAT (User Acceptance Testing), capture feedback, and improve reporting standards.\nPartner across teams to turn data and technical findings into clear, actionable stories\nAct as a reliable partner to GDMS (Global Data Management & Standards) and other cross-functional teams, actively seeking input, aligning priorities, and closing feedback loops to drive high-quality, coordinated delivery.\nTechnical skills \nExpert-level proficiency in various languages including SQL, Python, SAS, and R for implementing clinical data collectors, integrations, transformations, reporting and visualizations\nExperienced in the interoperability of EDC platforms, data integration environments, clinical operations systems, and cloud computing platforms \nAdvanced understanding of requirements, testing, validation, and change control in a regulated environment, and how these apply to data-management tools and clinical operations solutions.\nDeep understanding of clinical data lifecycles-from design and collection through cleaning, integration, and reporting-and how these activities support trial delivery and regulatory submissions.\nProficiency and ability to contribute in System Development Lifecycle Management / system validation activities\nStrong knowledge of common clinical and regulatory data standards, clinical operational data models and the ability to design or review data structures, mappings, and controls that are consistent and reusable.\nExperience leveraging automation, scripting, or digital solutions to streamline data-management activities and reduce manual effort.\nKnowledgeable drug discovery process, FDA regulations, GxP/ ICH (International Council for Harmonization) guidelines\nAbility to connect business outcomes to technical deliverables\nSoft skills \nCommunicate and negotiate effectively (oral/written) with technical and business partners and external service providers; adapt style to audience and able to translate technical topics for non-technical stakeholders.\nLead day-to-day activities; drive issue triage to closure; coordinate stakeholders.\nMentor junior team members on tools, checks, documentation quality, and best practices. \nPrioritize independently; escalate with context, impact, and recommendation.\nDeliver clear updates on status, decisions, and blockers; maintain decision logs.\nEnterprise Leadership Skills\nDecision Making | Identify and understand problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; solve complex\nproblems and apply knowledge of business challenges; able to weigh multiple options and implications \nMotivation & Inspiration | Communicate effectively, promote teamwork and open discussion, effectively communicate and engage / motivate teammates; inspire others toward higher levels of performance aligned with organization's Purpose and Strategic Framework\nCoaching & Development | Build self-insight, demonstrate awareness of own strengths and development needs as well as impact of own behavior on others; modify behavior based on self-awareness to improve impact, serve as a resource for colleagues; coach and guides others\nQualifications & experienceNon-Degree with a minimum of 8 years of experience in clinical data programming, data engineering, or related data-management/clinical operations functions.\n\nOR[Minimum preferred] Associate's Degree with a minimum of 7 years of experience in clinical data programming, data engineering, or related data-management/clinical operations functions.\n\nORBachelor’s Degree with a minimum of 5 years of experience in clinical data programming, data engineering, or related data-management/clinical operations functions.\n\nOR Advanced degree (Masters or Doctorate) with a minimum of 2 years of experience in clinical development and/or clinical data programming, data engineering, or related data-management/clinical operations functions.\n\nAdditional location(s) Compensation Information:\nRequired Skills:\nChange Controls, Clinical Databases, Clinical Data Management, Clinical Development, Clinical Research, Clinical Systems, Data Analysis, Data Ingestion, Data Literacy, Data Quality Assurance, Data Reporting, Data Review, Data Validation, Integration Architecture, Process Improvements, Systems Development, System Validation, User Acceptance Testing (UAT), Vendor ManagementPreferred 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:\nDomesticVISA Sponsorship:\nNoTravel Requirements:\n10%Flexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nn/aJob Posting End Date:\n11/16/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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